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Part I. Standard HyperCarte Web Application

1. ELLYLL YL YH YY seca FF ee iin 24 7 5 The synthesis maps Reese Nee 25 7 5 1 Ternary synthesis map 499 dl e 26 7 5 2 Dual synthesis map WER 67 27 LEEN ertet ON RA aaa 34 8 1 Review of available maps tabs i 34 8 2 Appearances and functions of the mouse cursor nenn ee ee ee 35 8 3 Legends options and explanation tabs 36 8 4 Zoom EER VN AA MEE EE EE EE 37 8 5 Report 9 OP 38 9 Standard HyperAtlas Expert Mode eens ecueeneeeenees 40 9 1 Lorenz curve and statistical indexes ee 40 9 2 Equigiepartition Mapa iii Ire there rre ibn rrt dnd sues 41 PO ls Cito AAA 42 9 4 Spatial autocorrelation chart ee 43 III HyperAG min mme MES eese N rne eye rens 45 10 Standard HyperAdmin Overview ss 47 IE Geometry BL RA EE emm Remb EEA KEETE EAEE hee meer 48 LT O A mU eR a DE te Re bate Erud 48 ER MIKRE e N et EE OE aS 49 LBL E main CITES EE AE ME EE RE N 32 12 Structure Contiguity input issues 54 12 1 Sttucture impul lu o der Io sos ESEG en PR e DER erre IE iaia 54 12 2 Contiguity input optional ss 58 EE od GE ARE RE EE EE OR AE EE EE ESNENS 64 13 1 HyperAdmin input data file format ss HA 64 O AD sen alia EE pai 64 13 122 D RR o RR A OE EE ii 64 13 1 3
2. N Structure gt HyperAdmin A D yd xls Stocks This section describes the expected geometry input for Standard HyperAdmin The maps are computed using the geometric information from the lowest level of territorial units then aggregating this information to build the upper levels So the user must provide data without any hole and territorial units at lowest level must be contiguous Expected geographical information must be provided by the user in the MIF MID format MapInfo format For more information on this software and its format please consult http www pbmapinfo eu last visit 131 may 2010 The MID file The MID file must be made of only one column where territorial units identifiers are listed one per line without any doublon Example AT111 AT112 AT125 AT126 AT127 AT13 AT211 The given order of TU identifiers in the MID file must match the order of provided regions in the MIF file see Data section of the MIF file 50 Based on a naming convention of the identifiers for these territorial units following exceptions are handled by HyperAtlas for particular display options Please take into account the following exceptions when designing your dataset FR ES PT MT is the list of units identifiers for countries that own overseas units France Mar tinique Spain Canarias and Portugal Madeire For example for European datasets In HyperAtlas the islands wil
3. issus 67 vi Draft Draft Introduction The next chapter Overview proposes an overview of a typical Multiscalar Territorial Analysis MTA session with Standard HyperAtlas v2 Then this document aims at providing an user s manual for the usage of the following applications Standard HyperAtlas HyperAdmin 2 First of all please insure that you have carefully read the HyperAtlas Application Terms and Conditions of Use Both previous applications were historically available as standalone applications They are now avail able from the Internet and embedded in a Web application whose main pages and use are described in the first part of this document Standard HyperCarte Web Application HyperCarte Research Group aims at providing projects and applications for interactive cartography The projects focus on the development of an easily understood methodology that allows the analysis and visualization of spatial phenomena taking into account its multiple possible representations Statistical observations of the territory are complex and one representation directly linked to a precise objective is the result of a combination of different choices which are relative on one hand to the territories and their geographical scales to the the statistical indicators on the other hand This is of interest for researchers as well as for development policy decision makers Thus the principal innovative aspect of the HyperCarte project li
4. The user may also set the thresholds for each class The Legend tab displays the bounds of the classes left the number of items for each of them right and the associated color The Explanation tab displays some general notes about the goal of the current map Figure 8 2 Options for proportional circles Explanation Options Disc Color Disc Size Disc Transparency The Options tab of the numerator or denominator maps aims at setting the representation of the indicator values by selecting a color the size and transparency of proportional circles 36 Draft Tools Draft Figure 8 3 Options for deviation maps 9 Area and Zoning Numerator Denominator a Global Deviation Mediu Explanation Deviation to WER Legend Edit global dewlation palett x Falens Color EET 3 Casses mm ME D Number 1266 0 2 Progression ceomerric D 660 A iL Artthmesical 223 8 i 145 0 e Threshalds 70 0 23 a 4122 7 16 2 m Restore Defaults The Options tab of the deviation maps aims at setting the representation of the deviation by selecting the palett of colors that can be reversed the number of classes between two and ten classes the progression arithmetic for classes with an egual amplitude better choice when the distribution is symmetric around 100 geometric for classes with an increasing amplitude the thresholds that can be edited for e
5. Default uice ettet EP i 65 13 1 A Eabel EE isole OO ER cea 65 1331 5 Metadata ER m eot EE sos RS Ev EY darai 66 13 16 Provider i A RE VR 66 13 AT A err Cer ERR REPE ETE 66 IERE ASE KO etn OE aieeeces 67 14 Standard HyperAdmin build ss 69 A Annex when things go wrong ses 71 TL Known DUgs ioni EE NE eee dav FESTE AIR EO EK 71 ili Draft HyperCarte Web Application Draft AT HyperAtlas 1 frozen uy ei e reor A Raro A 71 A 1 2 Deviations maps update iii 72 Al3 Multipl boxes appear ir rate tel eerte eee deret 72 B Annex acronyms coe cette regat reise re pte p n Leali 73 OE Wu NEU ci 74 Di Ann x felerences ooo rer i eud Ro E 78 E HyperAtlas Application Terms and Conditions of Use ee see ee ee seen sean ee 79 EADout ne an OLA e e e ei ire i 80 Draft Draft List of Figures 2 1 Standard HyperAtlas License arrogante ag prep ai it 4 2 2 Dataset Paper ila lau EE EE EE rte GEE 5 2 3 Log in Papera NR YE NYTH FY RO RE FF FFA NA RY YR FD FR HYR YNN WN 3 ZA Help ii KEES EE DII ONE pM 6 3 1 Registered status menu Dat iii et rt erbe t I BOE GR GEGEE P LER y SERERE ROUTE 7 3 2 Advanced status menu bar eee 7 3 3 Hyp upload form iuit Aaa 8 4 1 Security Warning EE ER aaa OO EA OE voce 12 4 2 Security Warning More Information eee 12 4 3 Security Warning Certificate Details ee 13 6 1 Standard Hy
6. 6 When Histogram is enabled see Section 6 3 section the user may represent the three contextual deviations of a selected clicked region as an histogram as shown on Figure 7 9 Figure 7 9 A deviations synthesis histogram for a regiion LEZI Hui N Linie Aumesmor ache population in 2000 Denominauor area in km in 1999 This screenshot shows the synthesis histogram of the clicked region named QUEST West of France The general deviation of this region is relative to the UE29 general context The territorial deviation is relative to the NUTS 0 hierarchical context the spatial deviation considers the contiguity e g the neighborhood of this region 7 5 2 Dual synthesis map The dual synthesis map is a new cartographic tool that has been introduced in the version 2 0 of Standard HyperAtlas It aims at showing via a chromatic legend the status of territorial units on taking 27 Draft MTA parameters Draft into account two chosen deviations This section describes the synthetis opportunity that is offered to analysts thanks to this tool The legend of the dual synthesis map shown on Figure 7 10 is composed of four main quarters The values on both axis range range from 0 to 200 and they represent the percentages of a deviation of a territorial unit relatively to a context of reference The user is invited to select in an options tab the contexts of deviations to be considered for both axis among the general the territori
7. Draft Draft Appendix F About This document is part of the HyperCarte Research Group projects It has been generated at the follow ing date 2013 07 05 15 25 58 from the svn rev 1088 sources of the docbench project This document has been written by the LIG STeamer team For any comment question or suggestion please please visit http hypercarte imag fr or contact J r me Gensel lt Jerome Gensel imag fr gt Laboratoire LIG UMR 5217 Equipe STeamer 681 rue de la Passerelle Domaine Universitaire BP 72 38402 Saint Martin d H res Cedex FRANCE Tel 33 0 4 76 82 72 80 Fax 33 0 4 76 82 72 87 Se EAMER J LIG Colophon Based on DocBook technology I this document is written in XML format sources are validated with DocBook DTD 4 5CR3 then sources are transformed to HTML and PDF formats by using DocBook xslt 1 73 2 stylesheets The generation of the documents is automatized thanks to the docbench LIG STeamer project that is based on Ant java e processors Xalan and FOP Note that Xslt standard stylesheets are customized in order to get a better image resolution in PDF generated output for admonitions icons the generated sizes of these icons were turned from 30 to 12 pt on line DocBook org http www docbook org last visit July 2011 Ton line Apache Ant Welcome Version 1 7 1 http ant apache org last visit July 2011 3 on line Developer Resources For Java Technology http java sun com
8. O eet 137 ODE reer aria bre pata action e ge a N TT Dna O m x HyperCarte Hadau E Lain Hep Peter ane Dada Gel Find hom x ge late ana E Pa ran Da boedo D pardan Hapioo d gs pn dici Fa ars ara Larimodiiai Beecripien dao hes Lah de aom Pres diger id tp SLT aun au Cammin HAHEN du dnd stia We EN ELATES dio MBSR OA AO A TA 1 7 DI bake XIILENIT MAI The list of available datasets on this page provides various thematics and study areas Click the name of the dataset to load the associated hyp file into HyperAtlas Figure 2 3 Log in Page ywr erte Mei Beplicetion bag be Moria Piet pu Bis Ed es Haley Bentesta oh Ep da as oD ran 7 DBE ARIE n E 1 a dU Pa ee arie al cp aia is Ling lh d igi x HyperCarte pesto Dun Login Heb Chil li u Wypercane gt Log in Lag eu de med dpi ie MT Lapa Tama ica 1 sr d ata E ALTE a hurr dt dui Ds eps Css SI LOO ad adr LS NEL Ge Forgotten login and Not registered yet links are not implemented yet Just check a miss ing feature page is returned on clicking these links Draft All users Draft Figure 2 4 Help e me Rie illa Firefoar Te a I x HyperCarte Menten Date Uim Eg Fn qaa oren sor iu unam rsen s main viricam farsi CRI pour fours ms i 2 EE HTA Cw irn PR AE eee A errat kr oa skeid cer Bw i Apm Dyn menu Forman renos HER ip pura TA ATA ee on a A pag placas id A dio A HE le Mare Emart diw abcr rer ygwy
9. Parameters menu item makes the parameters panel visible or note 16 Draft Overview Draft Depending on the current loaded dataset the Display submenu may also include an additional check box item as shown on the Figure 6 4 This checkbox allows the user to display or hide the main cities over the map By default if the dataset provides such a layer it is checked Figure 6 4 Display submenu options cities layer a Zoom In Ctrl Shift l Zoom Out Ctrl Shift 0 i Map Only Mode F11 On this screenshot the loaded dataset embeds the main cities The Display menu allows to hide or display this additional layer When the Display Cities menu item is enabled cities are displayed over the maps as black squares as shown on Figure 6 5 Note that for ergonomy reasons to avoid overlapping between cities labels the names of the cities are not displayed over the map Nevertheless a tooltip appears when the mouse comes over a square Figure 6 5 Displayed cities Ej Cities are represented as black squares The name of the city appears when the mouse moves over a square Draft Overview Draft 6 3 Tools menu Figure 6 6 Screenshot of the Tools menu Tools Session Help Popup Freeze Turn Pan Off Turn Histogram Off Create a study area Enable expert mode Borders options Language The Popup Freeze menu item has been available since HyperAtlas v2 This functionnalitiy is usefull to compare several
10. The equi repartition maps indicate which process of redistribution should be realized in absolute terms in order to achieve convergence at European national or local levels The equirepartition map is a bi color discs map showing an absolute deviation It examines how much amount of the numerator should be moved in order to reach equi repartition for each territorial unit taking into account as a reference the selected deviation context value Thus three equi repartition maps are available in expert mode for respectively the large medium and local deviations tabs As an example Figure 9 3 shows the equi repartition map also called Redis tribution map for the large context 41 Draft Standard HyperAtlas Expert Mode Draft Figure 9 3 Equi repartition map Em Bir Wee Huber Bosisio Imb tl A sere ere ire We a Fardin wv Di Num Toda manine peip drag and Tore Ud CET dien EEMIN ann E TE OT 7 Hb pgs E ro ik M nennen Ta Eis FEIT GET ROETE Hek ad rade Erik Brim T ac Corps Id edeerace ler raderbuden Aid eintlike E iral red ura use lletra aware 7 aai mrwcamimio CETTE GALI n Da poe re FAL ie MESS a Radu dea Sia THL as aa Smal ra dibbributen B errie rU Hp Der Th Mig a j o iai ees y La m 1 CO Ext es 7 EG TETEE Fa dara min b a Dalak irai d da rini a LITE sadia mia at bare a e Sa Di Ci i r E Luz daa Lis t2 am o a Das es 11 1 Ela TR G We
11. This map proposes the relative perspective of the distribution of the ratio over the units of the elementary zoning each absolute measure is put in relation with the value of its neighborhood as defined by the local reference The index value is 100 when an elementary unit has exactly the same value than its neighborhood It is 200 when the elementary unit measure is twice the measure of its neighborhood it is 50 when it is half the measure of its neigh borhood This map proposes a synthesis of the different perspectives by considering the three different contexts The synthesis is based on a deviation threshold either by upper values or by lower value These parameters depend on the meaning of the ration and they must be chosen by the user Then a typology of the regions which check the condition for at least one context is performed 34 Draft Tools Draft 8 2 Appearances and functions of the mouse cursor IN At any moment the position of the mouse cursor on the map provides information about the elementary unit that it points The content of the table depends on the current map Figure 8 1 shows the case of the synthesis map where are displayed the name of the territorial unit the code of this unit numerator stock value denominator stock value ratio numerator denominator value relative deviations values based on the selected references the absolute deviation values are only available in expert mode Fi
12. UT ID Area ID AT UE15 BE UE15 DE UE15 DK UE15 ES UE15 56 Draft UnitZoning Language UnitLanguage AreaLanguage Structure Contiguity input Draft This file sheet must contain two columns whose header cells must be UT ID and Zoning ID Example Table 12 7 Sample input UnitZoning sheet UT_ID Zoning_ID AT Nuts_0 BE Nuts_0 BG Nuts_0 CH Nuts_0 This file sheet must contain two columns whose header cell are Language ID and Language NAME Example Table 12 8 Sample input Language sheet Language ID Language NAME DE allemand CS tch que DA danois ET estonien EN anglais ES espagnol This file sheet must contain three columns whose header cells must be UT ID UT NAME and Language ID Example Table 12 9 Sample input UnitLanguage sheet UT ID Language ID UT NAME ATII DE BURGENLAND AT34 DE VORARLBERG BE24 NL VLAAMS BRABANT BE25 NL WEST VLAANDEREN BE31 FR BRABANT WALLON BE32 FR HAINAUT This file sheet must contain three columns whose header cells must be Area ID Language ID and Area NAME Example Table 12 10 Sample input AreaLanguage sheet Area ID Language ID Area NAME UE15 FR Union europ enne des 15 UE25 FR Union europ enne des 25 PECO FR Pays d Europe Centrale et Orientale 57 Draft ZoningLanguage Structure Contiguity input Draft This file sheet
13. Zoning indi calar Cartasta LIT Aree mr TE DIT TES Siem nissan elec ou B Hemma nrg E x Dom tar h pap skied in caen Bac ALTE E ib Curie Rag T 7oEmud Cory A Fd uaru recinto Mrs redini EEES TE ETE dB Arma ard Tosi Parme a ETE TE matter A aln B Lahe dridim Hedin drisi Erral sirzisliir 77 rd aie TITLE E hier al a i Hopr n 1533 1 fani 03767 Leotec me ss i Concert car KO 1605 300 1 cy ELE I 1 i i ea o EE I mI T 1 i LEE des Galla ei Lei pe mm mn pm ET inang area sirio icona tl ateo tha ari marin of drhal importas Pe Lore he curve n 3 roches sopresemtato i of the cumulative Brierib bion Function of tha empirical p laldEy ditfbelian el wealfri Lets conma y remera Y GDA for semola shares papa iti E Thai Lorenz panes EIP ra sent the cuna proportos gf population and CIE when sarb frac ragione wit tha bom GEE rak Bela Figure ab an aeszmgla ot tha Loren cervia applied bo tha cae of COP parithsbiart The Laet curo En red card AL UL I ye y om 30 of the populo N poorest regen hane ook 2H oi the RENTE CENT a baal account af OOP 3 n of ihe ons Gar belga mo lesa ton mh oi te Bogle in Aches g rri 5 10 z 30 40 30 po na Bo fel ueu yw Abres ef Total gered sien Loer E This tab shows the Lorenz curve a table of main statistical indexes and an Explanations titled panel providing some information for each feature 9 2 Equi repartition map
14. column may be referenced from the StockInfo sheet see Sec Table 13 5 provides an example for this optional sheet in the data v2 input xls file Table 13 5 V2 sample Metadata sheet UT_ID STOCK_ID PROVIDER_ID AT111 pop2000 1 AT112 pop2000 2 area 2 pop2002 1 This draft sheet aims at providing some basic metadata information for an indicator relatively or not to a territorial unit Currently only the source of data may be given as metadata For example in Table 13 5 the values of the pop2000 indicator identifier were retrieved from dif ferent sources for regions AT111 and AT112 On the contrary all values for the area indicator whatever the unit is were provided by the same source Idem for the pop2002 indicator The values in the PROVIDER ID column must match the identifiers that are given in the Provider sheet see Table 13 6 Likewise the values in the STOCK_ ID column must match the identifiers that are defined in the StockInfo sheet see Table 13 8 13 1 6 Provider Table 13 6 provides an example for this optional sheet in the data v2 input xls file Table 13 6 V2 sample Provider sheet PROVIDER_ID NAME CONTACT URL 1 Eurostat toto eurostat eu http www eurostat eu 2 INSEE tata insee fr http www insee fr This sheet aims at providing the list of data providers Their different ids are referenced from the Metadata sheet 13 1 7 RatioStock Table 13 7 pro
15. eee ere rm rwg e pe Cord Wh re erk omit tte TL Y D S tet nT ee ote Cin Y elles EF E Tm 500 re dey Dai es OE do ey mad ri Pd econ LU DAA lag a 1 SA reo TA Cy Di SR ee cordate va ida rep ayer Tha Geet hai bees cored sie gani awn tia SP oe lan Tini dm niey kri ip riami par daman Tag v2 0 A DIO pe marte repo roes da fend 10 1H O83 120 07 ha Clicking the link at the bottom of the page invites the user to download his her generated dataset as an hyp file 70 P Draft Draft Appendix A Annex when things go wrong This section deals with the problems that may occurre when using the described tools in this document Below Known bugs section proposes a non exhaustive list of problems that can be worked around when using the Standard HyperAtlas software Like most of Java applets the Standard HyperAtlas software displays logs messages to the Java Console This window is not enabled by default on most of standard browsers If Standard HyperAtlas does not behave as expected and described in this user s manual first enable this Java Console Note that the display of the Java console depends on your operating system and on your Web browser Please consult the following links last visit 20101228 Windows users How do I enable and view the Java Console http www java com en down load help javaconsole xml Mac OS X users Java Frequently Asked Questions http developer apple com java faq RedHat and
16. mode provides the following tools that complete the typical path of investigation Egui repartition maps one per context for Large Medium and Small local levels e Lorenz curve and statistical indexes Gini index Hoover index coefficient of variation Boxplots e Spatial autocorrelation chart Draft Draft Part I Standard HyperCarte Web Application This part describes the main pages of the Standard Web Application embedding the Standard HyperAtlas and Standard HyperAdmin applications 2 Some pages are only available to registered users hence the following dedicated chapters pages for any users are described in All users chapter pages for registered users are described in Registered users chapter Draft Draft Chapter 2 All users First access to the Web Application invites the user to read and accept the conditions and terms of use of the HyperAtlas as shown on Figure 2 1 i On following screenshots the http 127 0 0 1 8080 is the IP address of the alpha application that has been used to create this document The links on the top right menu bar of the page provides the main topics that are available for this Standard HyperCarte application HyperAtlas when the user accepts the conditions of use see Figure 2 1 he she can execute the Standard HyperAtlas v2 applet This applet allows then to perform a multiscalar territorial analysis on a default dataset currently Economy and Social Affairs Pl
17. window Figure 4 1 Draft Standard HyperAtlas startup Draft Figure 4 3 Security Warning Certificate Details Details Certificate ot Le Rubrus ICRA Stan Fali Value sandard ps CHRE2 CNRS2l Serial Humber I5 Sogneture Algorithm EMAL wrt EA CH eCHASZ DecHRzI CFA Mali Ly Fram Wad Jan 22 10 03 52 CET 200 Subject CN CHESZ Standard G CNRS C FE 0000 FES ES 17 EB 4C 27 F5 17 MOS Fingerprint DT BE FT NA 24 DE 5 374 DIN 57 ARF rl Fingerpnnt OL 08 08 60 03 Dd AB 60 55 5E EE 1 UMEONA FE Clase The user has clickedthe Certificate details linkon the bottomof the window Figure 4 3 Once the user has clicked the Run button on the security warning popup window the Standard Hy perAtlas applet begins to load a dataset Depending on the speed of this loading a splash screen icon may appear a few seconds HyperAtlas v2 Powered by HyperCarte Research Group http hypercarte imag fr 13 Draft Draft Chapter 5 Standard HyperAtlas input dataset The datasets provided by geographers are serialized in a convenient format for Standard HyperAtlas to a binary file named with the hyp extension example Europe 2007 hyp As a convention these Standard HyperAtlas dataset input files will be now called hyp files e A complete description of the Standard HyperAtlas integration tool named Standard Hyper Admin is available from the HyperAdmin part of this
18. 0 Study Area shows the spatial extension that will be mapped Elementary zoning shows the set of elementary units that will be studied Figure 7 2 illustrates two possible combinations The selected area is mapped when the chosen ele mentary zoning is drawn Figure 7 2 Combination of study area and elementary zoning These two maps were extracted from the Area and Zoning tab of the application with following settings Study Area Elementary Zoning Map on the left European Union 15 NUTS 0 Map on the right New member states 12 NUTS 3 7 3 Setting the indicators Standard HyperAtlas only works with size variables that is to say that only variables that may be aggregated at upper level by sum and proposes a multiscalar cartography of the ratio for two size variables in order to set the studied ratio The user can combine every couple of these types of variables in the Indicators box by choosing each of them in the associated select boxes as shown on Figure 7 3 23 Draft MTA parameters Draft Figure 7 3 Indicators box Indicator Numerator Population in Thousands 2003 Denominator area in km2 2003 r This box provides three select boxes to choose indicators The user selected the Density item in the Ratio select box e Numerator is setto Population in 2003 Denominator is setto Area in km Ratio depending on the chosen dataset the hyp file selecting a ra
19. 11 Dual synthesis map red units E National deviation ton mi n Wa 20 European deviation m N Pr o Fs Wi 1 ac E 7 x Eur ria P 3 p Wn x aa cr w ag pr i RES N LEE PE Tun a E E 5 E N Wy ME cid HIA A JEU Figure 7 12 shows in blue the territorial units whose unemployement rate is under average both at European and National levels 30 Draft MTA parameters Draft Figure 7 12 Dual synthesis map blue units National desirte Ese l En URS nb RATE EATDH 21 2 Dada bars Propet PHG a Figure 7 13 shows in yellow the territorial units whose unemployement rate is above average at European level and under at National level 31 Draft MTA parameters Draft Figure 7 13 Dual synthesis map yellow units MT E Le T 5 ul 3 B ta 1 120 ii European deviation aww m Eros Hy maal Lega dati me m ESP N TLWFm 2114 A E AAA m Figure 7 14 shows the final typology on the complete synthesis map 32 Draft MTA parameters Draft Figure 7 14 Dual synthesis map final typology HD National deviation o European deviation ESP iti RE PIN IE FERIA IIa Pr ar YCH 33 Draft Draft Chapter 8 Tools This section deals with the available tools in the application to work with the maps 8 1 Review of available maps tabs First of all let s review the available map
20. 63 Structure Contiguity input Draft can be found by executing the formula which is shown on Figure 12 1 Figure 12 1 Number S of needed sheets for n units n n 1 1 d 65536 S is the number of needed sheets n is the number of units On the numerator 1 stands for the header row that must be included on each sheet Note that contiguities are not aggregable a distance matrix is set for a given level of mesh For its upper level the associated distance matrix must also be giv en Table 12 20 provides an example of the number of needed sheets for different levels with several numbers of units Table 12 20 Example of needed sheets number Mesh Number of UT Number of n sheets S NUTS_0 29 1 NUTS 1 92 1 NUTS_2 280 2 NUTS_2_3 727 5 NUTS_3 1329 14 Total 23 Draft Draft Chapter 13 Stocks input E xls The stock file mainly aims at describing the statistics of the dataset 13 1 HyperAdmin input data file format This section describes the stocks statistical data file that Standard HyperAdmin expects as input o Please note the following reguirements for the input data file the input data file must be a spreadsheet xls file editable by Microsoft Excel and Open Office named data x1 s the filename must include the dat a characters sequence and the x1s extension is required the values of stocks must be provided for the lowest level of territoria
21. HyperCarte Web Application HyperAtlas and HyperAdmin User s Manual dg i HyperCarte 1 1 HyperCarte Research Group Draft Draft HyperCarte Web Application HyperAtlas and HyperAdmin User s Manual f HyperCarte HyperCarte Research Group si Abstract This document provides the minimum information about how to use HyperAtlas and HyperAdmin from the Hy perCarte Web Application version 1 0 2 Draft Draft Table of Contents Introduction 2i AR e P EE EE RR EA dei vii Te OVERVIEW sca i th TR Lala ila ari ian gia eal Siw vec landa 1 I Standard HyperCarte Web Application ss 3 2 All US ES ira EE RE ER La Eae 4 su Moe AE OR EE DD arde 7 II Standard HyperAtl s N OE AE ia ER 9 4 Standard HyperAtlas startup erigere SEN Ee nni sE RENS EER SEG GE SG REEN An 11 5 Standard HyperAtlas input dataset ee ee ee ee ee eee 14 6 OVERVIEW RE RE EE ssa bance RO EE nat 15 6 1 File menti atei ina 16 6 2 View MENU eoi nen ue nt same Y FE FFF de RF NFED Ere ise REPE 16 6 3 Tools AR EE RR MEE EE EE HE 18 GEASSESSEER N 20 6 5 Help AE ER eamm 20 7 MTA parameters AR RR EE lees 22 7 1 An example of multiscalar typologies of regions ee ee Se ee ee 22 7 2 Setting the Study Area v see see se sd ee A ccoo cnn ER Se EE 22 7 3 Setting the indicators Ree e n n n 23 7 4 Setting the contexts for deviations
22. Names of the study areas in different languages A translation may be missing See Content of arealanguage Names of the meshes in different languages A translation may be missing See Content of zon inglanguage Expected content for each of these sheets is following Unit Area This file sheet must contain one column whose header cell must be UT_ ID Example Table 12 2 Sample input Unit sheet UT ID ATI ATI2 AT13 AT21 etc This file sheet must contain one column whose header cell must be Area_ID Example 55 Draft Zoning UnitSup UnitArea Structure Contiguity input Draft Table 12 3 Sample input Area sheet Area ID UEIS UE25 PECO Arc_Atlantique Nouveaux_UE UE27 UE29 This file sheet must contain one column whose header cell must be Zoning ID An additional column named Rank may order given zonings Example Table 12 4 Sample input Zoning sheet Zoning_ID Rank Nuts_0 1 Nuts 1 DI Nuts_2 3 Nuts_3 5 Nuts_2_3 4 This file sheet must contain two columns whose header cells must be named UTSup_ID and UT_ID Example Table 12 5 Sample input UnitSup sheet UT_ID UTSup_ID ATI AT AT AT AT3 AT BEI BE BE2 BE This file sheet must contain two columns whose header cells must be named UT ID and Area ID Example Table 12 6 Sample input UnitArea sheet
23. Suse Linux users How do I enable and view the Java Console for Linux http www java com en download help 5000021200 xml For problems that might happen when browsing the pages of the Standard HyperCarte Web Applica tion a custom page has been created in order to trace some information Please copy paste the page and send it to the administrator with as many details on how it happened as possible D In order to improve the application thanks in advance for your cooperation please report bugs As far as possible complete your message with eventual output logs information about your environment the version of the application etc For any comment question or suggestion please contact the manager A 1 Known bugs A 1 1 HyperAtlas is frozen Standard HyperAtlas sometimes seems frozen as nothing happens when changing a parameter Most of the time your java console will display the log message shown on Figure A 1 A simple action allows to workaround this bug simply resize your window Figure A 1 Java console stroke shape error al sin it F ART Trim EUA mis Da 5 Exception n Tiran MT Doe Pius Ja Lanes Inbernalzrrzr Lnacla n Stroke shape iretPin TA nes ld cen cranetormisbo elogu arii ab Suc jovedd gppz Leop ipz qeSt she Sporalloosfize gua EZ m at zur javsdd pipe Lzapzips drawiLapzPiza java1EZ at eu Was dd pipe Fly TE aralelzgramtCornasrte drea P el TaP era Te o grana ome rar bos 30 dl sur jad Su Gr
24. ac Tory Genres ar inn db Gau lage ras 2 iu a trul dra TE Eerbied p tyrrau ea gere Sira O en arn m Toriy Arge ard Clementon Zoning n 7 T maia why ara E elle ET m Bo dali i n Ta beram Blw Shady Jana md in m E i Canalla La i gt PRI E LU Corn LE f maas ana D i n x Basses ac Hy pow F sr QR We Ml LAA Ii hmi Lr rta Foa era rand ky Hy par arie Dark Era ap E a 1 Ld Apia mada mag t n Dean a Selected new study area 6 4 Session menu Figure 6 10 Screenshot of the Session menu 1 session parameters Save session parameters This menu allows to save the parameters of the current analysis to an Standard HyperAtlas XML file on your disk In the case when you already saved such a file this menu allows to load your previous session para meters G _ A session parameters file is specific to a dataset An error occurres if you try to load a session parameters file that was built while using another dataset 6 5 Help menu Figure 6 11 Screenshot of the Help menu User s manual About this dataset GP About this software 20 Draft Overview Draft This menu provides the following items Help F1 opens a new browser window to the on line user s manual see Figure 2 4 About dataset opens a popup window displaying metadata of the current dataset author creation date version About displays the current version of the software Plea
25. ach class 8 4 Zoom It is possible to zoom in out a map either on clicking the View Zoom menu items by using the cursor on the left side of the map or by moving the mouse scroller over the map D Please note the available zoom levels depend on the selected elementary zoning parameter reduced zoom factor for high levels maximized at lowest level any zoom factor update or pan move are applied to every map the scale of the map is consequently updated 37 Draft Tools Draft Figure 8 4 Spatial zoom slider T3 146 km d Pan right ZOO zoom This screenshot shows the scale the pan buttons and the zoom slider 8 5 Report The user can save his current whole collection of maps with the associated rough data and deviations by selecting the File Build Report menu item from the menu bar By selecting this menu item the user is invited to select a directory on his her disk where the report will be generated as a set of HTML page index html and eight PNG image files one image per map map0 png mapl png to map7 png For example if the user selected his home toto my_hyperatlas_report directory as tar get directory he she may open the saved report from a web browser by selecting the home to to my_hyperatlas_report index html file The generated report may be divided in the three fold the introduction shows the space area chosen indicators and contexts the
26. al or the spatial context Let s consider the following example the general deviation has been chosen for the horizontal axis and the spatial deviation for the vertical axis The four main colors of the legend represent the following cases yellow the global deviation X axis is lower than 100 the average pivot value and the spatial deviation Y axis is upper 100 red both deviations are upper 100 blue both deviations are lower than 100 green the global deviation X axis is upper than 100 and the spatial deviation is lower than 100 Note that the more far from the value 100 the current deviation is the more intense the color is Hence a white square in the middle of the legend this range of values show the territorial units whose both deviations are around the average 100 28 Draft MTA parameters Draft Figure 7 10 Legend of the dual synthesis map redder Ia y Lia en in a fo 10 125 153 Jewin ai x Graduations and guarters of the dual deviation synthesis map legend Let s consider now a concrete example on how the dual deviation map can help analysts the following screenshots decompose as four steps the synthesis about the situation in 2010 according to the Euro pean and National averages of unemployement Figure 7 11 shows in red the territorial units whose unemployement rate is above average both at European and National levels 29 Draft Draft MTA parameters Figure 7
27. ayed on this build page In case of success Figure 14 2 the ouput build logs are summarized and displayed on the page In order to avoid overwriting note that the generated hyp filename follows a date pattern yyyyMMd dhhmmss year month date hour minutes seconds On clicking the link showing the name of the generated dataset the user is invited to save the file to his her disk of course he she can rename the hyp file at his her convenience amp _ The use of Microsoft Internet Explorer browser may disturb users when clicking the link by 7 opening an ununderstanble page showing the content of the binary hyp file to download the generated dataset right click the link and choose Save target as in the displayed contextual menu Figure 14 2 Successfull build Mercato EE RT perales iria ll cial Mee Firet m Dis for wa hps Gobet ok reg da O Te MT DEEP T He S FlycarCarin MiabApolication gt Hype E x HyperCarte Wem Homan HASN Dui hypo Logon Hp My geri it e gt Id yer rir gt Successfull creation Tha REA NRI dI Co Tasir imi ke yar mbres Mig bara im 5n rate a AF III ER LRL ARI A EA don ne A Pr dit ES Und daed minehin heroi ln Lina Jr A i Boa i Aman EER Del OT SEED aa i Cms ci di jas ca Peg ed a Pg p coq Coque eng ge g 173 Gc CH WE ceram danbser ques Compass SOC pego pc ET d i rig o paag Fn prat TE Es AO WWT cong res p cond ioe I Cord 1 00 merw vaart 57707 al de amem oer dan kr py rari 7 n El ieee rg A
28. ble to all users The provided management feature currently only allows to add datasets not to remove available ones This remove feature can currently only be performed by the admin istrator of the server Draft Draft Part II Standard HyperAtlas Standard HyperAtlas is a tool for Multiscalar Territorial Analysis several indicators on the basis of the ratio of two initial geographical indexes can be derived according to different spatial contexts Multiscalar Territorial Analysis is based on the assumption that it is not possible to evaluate the situation of a given territorial unit without taking into account its relative situation and localization Regions belong to territorial and spatial systems Indeed from a policy point of view and in a social science perspective contrasts and gradients are of much more interest than absolute values Furthermore aggregating and disaggregating territorial units allow to see how local values add up to form territorial contexts and regional positions Whatever the indexes used for political decisions they have to be evaluated in relative terms This may be done according to various territorial contexts Thus one spatial organization may be examined from three different viewpoints that are three territorial contexts They are differentiated according to the scale of political intervention or action they are referring to and that have a sense for the questioning a global one a medium one and finally a
29. boa 2671218 026 1947183 08 Oslo 4362362 69 4091266 484 Reykjavik 2843090 801 4908517 82 Riga 5170116 607 3836021 74 Roma 4531433 066 2089563 772 Stockholm 4781578 636 4041161 089 52 Draft Geometry input Valletta 4737055 11 1442089 281 Ljubljana 4670851 053 2559186 916 El Jazair 3696198 974 1536632 051 Tounis 4344016 475 1511814 733 Podgorica 5085720 438 2197200 507 Vaduz 4287807 431 2668956 206 53 Draft Draft Draft Chapter 12 Structure Contiguity input The Section 12 1 presents the expectations of the Standard HyperAdmin about the structure input file e g the information about the territorial units hierarchy and their relationships The Section 12 2 presents the optional steps that consists in creating a distance time contiguity matrix input data for custom neighbourhood definitions example distance time 2 hours by car etc 12 1 Structure input Geometry Q gt HyperAdmin Stocks 7 In the the input structure xls Excel file ten sheets must mandatory be provided in a unique xls file Optionnally complex contiguities must be defined as a set of seven sheets in an unique other xls file Thus the input data may be composed of some structure xls to describe the structure e some contiguity xls to optionally describe the contiguities see Section 12 2 Table 12 1 provides the list of these sheets names and a short description for each of them as they are expected in th
30. c OS X 5 Operating system with a JRE 1 5 the tabs are embedded in a scrollable list 9 1 Lorenz curve and statistical indexes The map of large deviation provided by Standard HyperAtlas is a general measure of disparities for a given variable Z which is the ratio between two stocks X and Y This estimation of general disparities can be further analysed using various econometric indexes that have been added in Standard Hyper Atlas v2 expert mode the Lorenz curve typically presents the cumulative proportion of population and resource when starting from regions with lowest resource per inhabitant the Gini Coefficient is a summary of the Lorenz curve measuring the global amount of disparities 1t is equal to the area located between the Lorenz Curve and the diagonal perfect equality the Hoover index also called Disparity index is another summary of the Lorenz Curve as it is equal to the maximum distance between Lorenz Curve and diagonale The Coefficient of Variation is simply equal to the ratio between standard deviation and average of the considered ratio Z 40 Draft Standard HyperAtlas Expert Mode Draft G A complete description of the Lorenz curve and of the main statistical indexes is directly avail i able in a dedicated Explanation panel of the statistical box close to the curve panel as shown on Figure 9 2 Figure 9 2 Lorenz curve statistical indexes and explanations ERE ven Todi Bean Erik rma ard
31. cpheu 20 dym uri og heu 20 goed 2225 pu ance nmm om i Mis ab om PA RR Hd 3 Clear Copy cioa Displayed log message when the maps of HyperAtlas seem frozen 71 Draft Annex when things go wrong Draft A 1 2 Deviations maps update The deviations maps may sometimes appear all in grey Just click the deviation context combo box in the parameters panel in order that HyperAtlas takes into account the changes of references A 1 3 Multiple boxes appear After several analysis with several datasets multiple messages boxes may appear As a Java Applet is loaded in memory for a whole browser session multiple instances may cause this problem The simplest thing to workaround this disturbing behaviour is to close your browser then restart it This bug should be fixed in a next iteration 72 Draft Draft Appendix B Annex acronyms Find here an alphabetical arrangement of most often used acronyms in this document DBMS DataBase Management System ESPON European Observation Network for Territorial Development and Cohesion 1 GDP Gross Domestic Product HTML HyperText Markup Language JRE Java Runtime Environment MTA Multiscalar Territorial Analysis NUTS Nomenclature of territorial units for statistics see also a definition of NUTS in the glossary XML Extensible Markup Language 73 Draft Draft Appendix C Annex glossary Some defin
32. d when the previous cri terion of Objective 1 less than 75 of the mean value of GDP is applied simultaneously at three scales European national and local Simultaneously it is possible to propose a typology of advanced regions based on the symmetric criteria of more than 133 of the mean value of GDP at those three scales According to this methodology it is possible to demonstrate that very few regions are lagging at all scales and advanced at all scales Many are in more complex situations like certain regions of Switzerland or Norway which are advanced at European scale but they are lagging at their national or local scales Reversely the metropolitan regions of candidate countries are very often lagging at European scale but advanced at national and local scales 7 2 Setting the Study Area The setting of the study area should be the first step of any analysis Setting the basis of the study can be done by answering the following questions which spatial extension area and for which geographical level which division will be the elementary zoning As shown on Figure 7 1 these two parameters have to be selected in the two respective pop up lists The different propositions are internal and come from the a priori implementation 22 Draft MTA parameters Draft Figure 7 1 Study area fields 8 Area and Zoning Study Area European Union 15 Elementary Zoning Nuts
33. document Standard HyperAtlas is designed so it can load any dataset serialized as an hyp file From the Hy perAtlas menu item of the HyperCarte Web Application main menu bar once the user has accepted the terms and conditions of use see Figure 2 1 the Standard HyperAtlas loads a default dataset Rh ne Alpes The user can also load a dataset hyp file from his disk via the File Open menu item of the application Customized datasets for various topics are also available from the Datasets page of the Web Appli cation see Figure 2 2 Draft Draft Chapter 6 Overview Standard HyperAtlas is totally interactive It works with three sets of parameters that are linked to one or more maps At any time the user can change the different input parameters and the linked maps are immediately updated The user may also individually configure each map for instance the number of equivalence classes statistical progression arithmetic or geometric the pallet of colors etc This set of features allow to generate a very accurate collection of maps As shown on Figure 6 1 StandardHyperAtlas Applet fills the full width of the browser window A Back to dataset link at the top of the page allows the user to be redirected to the Standard HyperCarte Web Application Dataset page The main components of the Standard HyperAtlas frame are amenu bar the parameters panel threefold boxes Area and Zoning to select the geometric paramete
34. e not available by default at the startup of the application In order to keep the application easy to use for not so advanced users this set of tools must be enabled on clicking the Enable expert mode menu item of the Tools menu shown on Figure 6 6 Graphically speaking enabling the expert mode adds six new tabs to the eight available tabs in default standard mode three tabs for egui repartition maps respectively for large medium small contexts of reference they are described in Section 9 2 section a tab showing a Lorenz curve and a table computing relevant statistical indexes This feature is described in Section 9 1 section atab showing a chart of boxplots described in Section 9 3 section atab showing a spatial autocorrelation chart described in Section 9 4 section In order to distinguish the default mode tabs and the expert mode tabs expert tools tabs titles back grounds are displayed with a golden colour Enabling the expert mode automatically enables and dis plays the equi repartition map for the large context the list of tabs is shown on Figure 9 1 Figure 9 1 Expert mode enabled arri AE Liege redatetatwn Mg dim reduce MA out gt gt a autacerresthe Default mode set of tabs is added six new tabs when enabling the expert mode 2 Depending on the operating system the Java Runtime Environment version 1 5 or upper is required and the user s browser the display may differ For example under the Ma
35. e structure input definition The expected columns and an example for each of them is described below this table 2 The names of sheets is case unsensitive For example the mandatory UnitArea txt file can be named unitarea txt or UNITAREA txt Suffixes and prefixes around the file basename are also possible while choosing the plain text option thus my UnitArea txt will be considered as a UnitArea txt file e g the input file that contains the information about the relationships between areas and territorial units 54 Draft Structure Contiguity input Draft Table 12 1 Overview of expected sheets for data structure input Excel Sheet Name Description unit Area Identifiers for the set of territorial units See Content of unit Identifiers for the set of study areas See Content of area Zoning Identifiers for the set of meshes See Content of zoning UnitSup Hierarchy between units an UTSup_ ID par ent unit owns at least one child UT ID unit See Content of unitsup UnitArea UnitZoning An UT belongs to one or several study areas See Content of unitarea An UT belongs to one or several meshes See Content of unitzoning language Provides a human readable name for used lan guages codes See Content of language UnitLanguage Names of UT in different languages A trans lation may be missing See Content of unit language AreaLanguage ZoningLanguage
36. ease consult Standard HyperAtlas part of this document for further information on how to use Standard HyperAtlas Dataset for further analysis this page provides a list of available datasets that can be loaded by the Standard HyperAtlas v2 Figure 2 2 Login as shown on Figure 2 3 this page provides a form for registered users who can log into the application in order to access advanced features Registered users are invited to consult Registered users section Help displays links to the user s manual and the version of the Web Application as shown on Figure 2 4 Figure 2 1 Standard HyperAtlas License Pape erte Meb Agricstan Digne Martie Frehr Elm Edt fer Haley Dobma uh Hain w E i nio aa iene IG 4 a AL EET CENTS rires e L st HyperCarte Bread anar Login Bep pere 2 Libia mess Va FORT eparina HyperAtlas s This application is protected by ji Fn law MyperCarte Ressarch Group AU rights reserved Please read the terms and conditions af use carefully adire the iena Arcem the ER be Pina made Eas Up jui Ama Pad ru Gates Jaw Kran Lr d risu bas bi aes LE Yny 255 N S dT dda fra rever A TL LOT HE RATE f Tens e The license must be read and accepted by the user before accessing the Standard HyperAtlas applet Draft All users Draft Figure 2 2 Dataset Page Hyt erbe Web Appiratan gt Damat Anite Teppe Bm de Mer Fir Eose oh min e
37. ed subject the detailed use of Standard HyperAdmin is further described in the HyperAdmin part of this document check your newly created dataset hyp file from Standard HyperAtlas see Standard HyperAtlas part of this document submit the dataset advanced status users only as described below How to submit new dataset hyp files 7 The hyp s page of the authenticated session provides a form to upload an hyp file from your disk to the server as shown on Figure 3 3 The form requires the input of a name and of a description for your dataset This name and this description will be displayed in the table of the Dataset page see Figure 2 2 they are independant of the name and description you have entered while creating this dataset Draft Registered users Draft Figure 3 3 Hyps upload form Hype arte Web Age afr ded a pre data nr Haplla Firefox Be Edt New Haley poime Tram mm e O e TM OOO O O IA rdg a Le w EE amp P rypascana Wen Apa caai Adan O w x HyperCarte Wekre Hyperidsm Hypertimim Cine p Lag uf Heig BERE aste gt Add need afa Lada sra dam Fen Hei ic de wee al beds gw mwr Boss Faderi uaru Peel i eiis Hip ee VT deli m af Bremer Temei e LAT na LL DERIT LA Bly 1137 DE BENDE par a og Ln ba He se Requires an hyp file a name and a description for the dataset to be added O Please test your hyp file with Standard HyperAtlas before submitting it as it will be availa
38. er shows whether the point of view is to underline the regions whose ratio is greater than or to underline the contextual values by selecting less than This choice depends on the studied indicator see An example of multiscalar typologies of regions section For instance high values of unemployment rates point out different types of regions than high values of an indicator of resources According to which regions have to be differentiated lagging ones or wining ones the user must chosse the point of view of the synthesis Then the user can choose the threshold percentage Figure 7 7 Synthesis map options Explanation Legend Options Threshold value must be greater than 100 when criterion is Greater than It must be lower than 100 when selecting Lower than Criterion Greater than Threshold 100 Value OK The map on Figure 7 8 illustrates the eight different configurations of relative position according to the three previously chosen contexts and parameters The legend tab gives for each class the descriptions of the contextual positions The last class in white gather the regions that are not concerned by the chosen comparative criterion whatever the contexts are 26 Draft MTA parameters Draft Figure 7 8 Synthesis map tab Gali bein Lac Duas 0 pd mia Ceri UN kire ajii ni This screenshot shows the synthesis map tab for the contexts that were chosen in the previous example shown on Figure 7
39. erator stock and one denominator stock The Table 13 2 shows five indicators identifiers pop2000 pop2002 area2000 gdp2000 and gdp2002 These iden tifiers must be described in the StockInfo sheet see Section 13 1 8 The UT_ID column must provide the list of territorial units at the lowest rank example at NUTS 3 level of the dataset The units are referenced by their identifiers that must match the given values in the associated structure xls input file Then each other cell provides a value for the given indicator column at the given unit row For example in Table 13 2 17 is the value for pop2002 indicator in AT113 territorial unit O Each cell must be valuated Missing values are not accepted here 13 1 3 Default Table 13 3 provides an example for this optional sheet in the data v2 input xls file Table 13 3 V2 sample Default sheet DEFAULT_NUM DEFAULT_DEN pop area This sheet aims at providing a default indicator to be selected in HyperAtlas at startup for the denom inator and for the numerator combo boxes Expected values for both columns are valid indicators identifiers that must match two of those defined in the StockInfo sheet see Section 13 1 8 13 1 4 Label Table 13 4 provides an example for this mandatory sheet in the data v2 input xls file Table 13 4 V2 sample Label sheet LABEL_ID LANG_CODE NAME DESC 1 EN Total population Total population in t
40. es on this perspective based on the popularization of methods coming from spatial analysis such as the fitting of territorial scales gradi ents discontinuities This supposes an effort of multidisciplinary cooperation between geographers and computer scientists in order to create new maps in real time according to the different choices An important effort has concerned ergonomics and time of calculus Main partners of the HyperCarte research group are Ww s RIATE UMS 2414 http www ums riate com ums RIATE adig x CNRS UMR 8504 G ographie Cit s UMR 8504 http www parisgeo cnrs fr Va ELF LIG MESCAL UMR 5217 http M E 5 CA L mescal imag fr LIG STeamer UMR 5217 http LSA steamer imag fr Graver For more information please visit HyperCarte Research Group Web site on http hypercarte imag fr vil Draft Draft Chapter 1 Overview As an introduction this chapter proposes an overview of a typical Standard HyperAtlas v2 session describing possible paths of investigation Users of the Standard HyperAtlas v1 may remember the typical path of investigation they were sup posed to follow the seven following steps 1 Ze 6 7 Choice of area zoning and indicator of interest that s to say a ratio Visualization of the ratio and eventually visualization of numerator and denominator without transformation Analysis of inequalities at large level Analysis of ine
41. f redistribution the Lorenz curve and a chart of spatial autocorrelation Here are some political justifications about the contextual and multilevel mapping based on the European example The first map where the referent context is the global one is the classical way of mapping an index when the chosen context is the studied area The values of the indices are converted into a global index The second map corresponding to the intermediate level her the national one is very important to combine with the previous one Indeed many contradictions can appear between the two levels with important political consequences The third one is based on the local differential between one region and the neighbouring ones accord ing to various criteria of proximity contiguity time distance According to recent research in the field of spatial economy and regional science those local advantages handicaps appear to be of crucial im portance for the regional cohesion because they are strongly connected with the action of economic or social actors Draft Draft The multiscalar approach proposed to evaluate the same index at various scales In terms of territorial cohesion it is indeed very important to evaluate the level of development of a region according to at least three levels Draft Draft Chapter 4 Standard HyperAtlas startup Before starting Standard HyperAtlas Standard HyperAtlas is available on line from the Standard H
42. g his her stocks for the chosen geometry at step 1 he she is redirected to the Build page see Figure 14 1 He she is invited here to enter a name and a description for the dataset hyp file he she is about to generate These fields are mandatory Figure 14 1 Dataset information form DPI rw Dia for ymw hgoy pootmada ok pau da oo CITE Bree Eb sd Ese pee O I E nes jis a S rlysurTartu MatApolication gt Hyper elo x HyperCarte Wiele Hyeres Herrie Dalai hypin Logo Heip MygsirCarte gt partido Didi name and deseriptian ina ml da FP da welluFmC Pr ME im Loc Ful Pracnam Tuas La ELS yg Em aitis i Ede Ennyn by ET gx A rg a oui mad beer cL Ed TEER The stock data file is well formed Enter a name and a description for the dataset o Depending on the wideness of the dataset number of stocks geometries zonings etc this step may take a while While building the dataset a progress bar appears after a few seconds in the foreground of the window the backgound page functionnalities are disabed d mariana en Appice gt pari UD w The dai ari ca LI Please do not click the submit button as long as the page has not completly reloaded and displayed a success or failure message 69 Draft Standard HyperAdmin build Draft If the generation of the hyp file is successfull the user is redirected to a success page where he she can download his her new dataset Else an error message is displ
43. guity_ID and Area ID In the following exam ple distance time matrixes by car are available for UE15 and UE25 distance time matrixes by lorry are available for UE27 and UE29 Table 12 18 Sample input ContiguityArea sheet Contiguity_ID Area_ID CAR UE15 CAR UE25 TRUCK UE27 TRUCK UE29 The identifiers that are given in the Area ID column must be coherent with the identifiers that have been giv en in the Area sheet of the structure input see Content of area This sheet must contain at least three columns whose header cells are UT ID1 UT I D2 then the identifier of a contiguity In the following example contiguities between units are per formed for CAR contiguity and TRUCK contiguity Table 12 19 Sample input UnitContiguity sheet UT ID1 UT ID2 CAR TRUCK ES12 UKCI 1265 11 1820 5 ES13 UKCI 1138 85 1649 5 ES21 UKCI 1058 92 1529 9 62 In Excel mode each Uni tContiguity can only con tain 2 rows e g 65536 Several sheets can be created to import more results just name your sheets Unit Contiguityl UnitContiguity2 etc Note that only 30 UnitContiguity sheets can be created Nevertheless on considering a symetric relationship for a distance between two units e g distance between UTI and UT2 equals the distance between UT2 and UTI the number of needed rows can quasi be reduced by half Thus the number S of needed sheets for n units Draft
44. gure 8 1 Details box for the synthesis map Details Unit GUYANE FR NUTS code FROS Numerator 2 560 000 Denominator 200 Ratio 12 500 Relative devia 56 47 123 Absolute devi Details Uri FE AME CFR HUES coda RSS Hurmnaretor ABO 000 Denominator 200 Fatis 12 800 EURCIFESX LlKKIH Reletres devia 56 4 123 7 Part financed sy the European appnal Deseippreent Fent for atmmintratrsa bsurdaniaa Absolute dai ES INVESTING IX YOUR FU FRE This screenshot shows the Details box on the left bottom corner of the application The user s mouse is over the Guyane Associated computed values to this unit are displayed in the box Except for the synthesis map a left click anywhere on the map changes the function of the cursor to Pan as long as this option is on see Section 6 3 On the synthesis map the hand mouse pointer shows that the histogram function is on A right click on a region opens its histogram synthesis view see synthesis as an histogram 27 35 Draft Tools Draft 8 3 Legends options and explanation tabs Each map is associated to a set of three tabs that provide tools to control and to understand the car tography The choices are valid for the current map Figure 8 2 displays each the Options tabs for an indicator map that shows proportional circles while Figure 8 3 displays the available options on a deviation map palett of colors
45. he population in 2000 and 2002 LABEL_ID each value in this column must reference an identifier defined in the Label sheet see Section 13 1 4 MEASURE UNIT simply provides the unit of measure for this indicator VALIDITY_START shows the start date of validity for this indicator This field will only be considerated if the value of the TIME_ENABLED column in the About sheet is TRUE see Sec tion 13 1 1 and Important note about expected date format VALIDITY_END shows the end date of validity for this indicator VALIDITY_START and VALIDITY_END fields are able to manage time intervals but they can be used to associate a time stamp to the current stock just write the same value in both cells please see Important note about expected date format VISIBLE this field acts like a flag a boolean is expected for the values of this column A TRU value shows that this indicator will be available in the numerator and in the denominator combo boxes of HyperAtlas parameters panel A FALSE value may be usefull to define relevant ratios whose indicators have no reason to be available in the numerator and denominator combo boxes For example the life expectancy pre defined ratio considers indicators that have no sense out of this compute E 68 Draft Draft Chapter 14 Standard HyperAdmin build Once the user has submitted a well formed spreadhseet file includin
46. hesis map ii 35 8 2 Options for proportional circles iii 36 8 3 Options for deviation maps ss 37 SAN A in Rr er err OE OR ER 38 8 5 Screenshot of a generated report ie 39 9 1 Expert mode enabled e i p ne ERA Sab OR NU pata ala parata sad 40 9 2 Lorenz curve statistical indexes and explanations 41 9 3 Egui repartitiOn EI OR AA E peur tel RU ERR 42 9 4 Boxplots chart REGS SEE cui ELLE AEG RI DO ao 43 9 5 Spatial autocorrelafion Chart sie cirie rai OS OE See GE italien BIO gee bee eg 44 10 1 Standard HyperCarte Workflow ss 47 11 1 MIE file header critt eti Hte DEP HP SEE Re Pe DEE SEE SE RE Re ee 49 11 2 Example of two Region entries in the MIF file Data section SI 12 1 Number S of needed sheets for n units ee 63 14 1 Dataset information form ss 69 14 2 Suceesstull build gilera pie 70 A 1 Java console stroke shape error sss HH Heer 71 C 1 Mathematical formula of the relative deviation ee ee ee YY YY YY seen ee nion 75 C2 Cu DE 77 Draft Draft List of Tables 12 1 Overview of expected sheets for data structure input ee 55 12 2 Sample input Unit sheet sise 55 12 3 Sample input Area sheets ini RR ani 56 12 4 Sample input Zoning sheet ss 56 12 5 Sample input UnitSup sheet 20 25 itn ale eri 56 12 6 Sa
47. hours by car TRUCK lt EN 9h truck Units at less 540 than 9 hours on a truck CAR lt 180 EN 3h car Units at less than 3 hours by car TRUCK EN 3h truck Units at less 180 than 3 hours on a truck CAR lt 360 FR 6h de voiture Unit s moins de 6 heures en voiture TRUCK FR 6h de camion Unit s 360 moins de 6 heures en camion CAR lt 540 FR 9h voiture Unit s moins de 9 heures en voiture TRUCK FR 9h de camion Unit s 540 moins de 9 heures en camion CAR lt 180 FR 3h de voiture Unit s moins de 3 heures en voiture TRUCK FR 3h de camion Unit s 180 moins de 3 heures en voiture ContiguityZoning txt Contigui tyZoning This sheet must contain two columns whose header cells are Contiguity ID and Zoning ID In the following exam ple the distance time by car and distance time by lorry are available for NUTS 2 zoning only 61 Draft ContiguityArea txt Contiguit yArea UnitContiguity txt UnitContigu ity Structure Contiguity input Draft Table 12 17 Sample input ContiguityZoning sheet Contiguity_ID Zoning_ID CAR Nuts_2 TRUCK Nuts_2 The identifiers that are given in the Zoning_ ID col umn must be coherent with the identifiers that have been given in the Zoning sheet of the structure input see Content of zoning This sheet must contain two columns whose header cells are Conti
48. housands 1 FR Population totale Population totale en milliers 2 EN Area Total area 2 FR Superficie Superficie totale 3 EN GDP Gross domestic product 3 FR PIB Produit int rieur brut 4 EN GDP Inhabitant Gross domestic product per inhabitant 4 FR PIB Hab PIB par habitant EN Density Density of population 5 FR Densit Densit de population 65 Draft Stocks input Draft This sheet aims at providing the internationalized names and descriptions for the indicators and pre defined ratios The LAB EL ID and LANG CODI identifier there may be several available translations Thus the LABEL ID lish LANG CODE EN and french LANG CODE E provides indexes for this table for a given label lis available in eng FR languages In the StockInfo sheet each indicator reference a label identifier As several indicators may be similarly named and described when an indicator is valuated for several dates these labels have been exported here 2 The language identifier code must be a valid ISO Language Code These codes are the low er case two letter codes as defined by ISO 639 Nevertheless the parser supports upper cases You can find a full list of these codes at a number of sites such as http www ics uci edu pub ietf http related iso639 txt 2011 03 16 Note that values in the LABI tion 13 1 8 and from the RatioStock sheet see Section 13 1 7 13 1 5 Metadata EL_ID
49. ii i i i i sl mm oe I i i a eng Wm 332 N I Large cation 44 Available in expert mode Part lll HyperAdmin Draft Draft Draft Table of Contents 10 Standard HyperAdmin Overview ss 47 11 G om try input s a OER ORE ne sante Bn cess 48 11 1 The MID file dl OR RE ENE HET Re fs dates 48 112 The MIF oi RA EE ns ete io O io 49 11 3 bayecof main cities icona iaia PCIE te pee PI SR ES E Y ea 52 12 Structure Contiguity input ee 54 12 1 Structure input iere Per Rp ERR SE DERE EEO EP sedha v ERESSE ENOTES 54 12 2 Contiguity input optional m me mH m emere 58 13 Stocks INPUt utero ER ria ie Pese t pancia dert see Pica E TURA 64 13 1 HyperAdmin input data file format sese 64 131 T A BOUL coiere eer EDI oca 64 13 12 Data ae ARR sia 64 13 13 Default acta ten to ch DDN ER sates a pO YR risa 65 13 1 4 Label A tlie 65 13 15 Metadata N EE ET ENE ES 66 13 1 6 Provider N N N O RE N ees 66 13 1 7 RatioStock meo e 66 13 1 8 StockInfo NN HF REEN 67 14 Standard HyperAdmin build 4887 Ri 69 46 Draft Draft Chapter 10 Standard HyperAdmin Overview In order to perform Multiscalar Territorial Analysis with Standard HyperAtlas the datasets provid ed by geographers are serialized in a convenient format into a binary file named with the hyp ex tension As a convention a Standard HyperAtlas dataset inpu
50. ime distances Then each elementary unit value will be compared to the value of its neighborhood A set of three maps are linked to these choices Figure 7 6 The values of the deviations are trans formed into global indexes 100 Thus values may be interpreted in terms of percentage to the refer ence value The maps are drawn with double progression frame centered on 100 in order to highlight the regions that are under the reference value 100 and the ones that have upper values Figure 7 6 Deviations maps tabs These screenshots show the three deviations maps tabs for chosen contexts general deviation on the left territorial deviation in the center and spatial deviation on the right 7 5 The synthesis maps One synthesis map was already available in the previous version of Standard HyperAtlas based on three levels and one treshold it is described in Ternary synthesis map A new synthesis map has been added to the application since the version 2 0 see Dual synthesis map 25 Draft MTA parameters Draft 7 5 1 Ternary synthesis map The three relative positions about contexts are summarized in one synthetic map The elementary units are classified in eight classes according to their three relative positions In order to reduce the whole combinatory of possible cases from the Options tab close to the syn thesis map Figure 7 7 the user must specify which point of view he wants to focus on the first Cri terion paramet
51. ion 0 94 81
52. itions Deviation The relative deviation of a given region i to a context is defined by equation Figure C 1 The relative deviation depends on the chosen context general medium or local it shows the gap be tween the value of the unit and the average value of the context The deviation is expressed in a percentage of the context average value 100 is the pivot 74 Draft Elementary unit Elementary zoning Annex glossary Draft Figure C 1 Mathematical formula of the relative deviation Num RO wee 100 Den 5 Ci Num js De C Den This figure shows a general formula to compute the relative devi ation RD of a territorial unit i for the chosen context Context Needed variables are Num is the value of the indicator chosen as the Numerator pa rameter for the territorial unit x Den is the value of the indicator chosen as the Denominator parameter for the territorial unit x ci 1s a boolean whose value depends on the chosen context General context Cal if the current territorial unit j is in cluded in the reference area C 0 in other cases For exam ple if the reference area is EU 15 Cj takes the value 1 for regions of EU 15 and the value 0 for regions of the candidate countries Territorial context C shows if two regions i and j belong or not to the same area In the case when the medium context considers the state level Ci takes the value 1 for regions be longing to the
53. ive Unit HTML document that lists the set of parameters used for analysis study area zoning context for deviation indicators for numer ator and denominator and the maps which are generated by the application Social economic count like number of deaths on 1999 year num ber of births on 1999 year total population in thousand on 1999 year Stocks should be valued on each elementary unit There are also called indicators Territorial space on which we will base the analysis It can be Europe Cameroun or France by example Only one study area can be loaded in the same time by the application A ratio between two stocks which are defined and available on the same set of territorial units 76 Draft Workspace Annex glossary Draft Figure C 2 Ratio BIDEN ELE rator Ratio sl ockde nominator Context of analysis and selected options in the application when working on a study area zoom level map mode etc It can be exported to an XML file 77 Draft Draft Appendix D Annex references Some usefull links 1 ESPON Coordination Unit ESPON on line http www espon eu last visit 1 5 december 2009 2 Pitney Bowes MapInfo Appendix J MapInfo Data Interchange Format on line http resource mapinfo com static files document 1074660800077 interchange_file pdf last visit 18 may 2010 78 Draft Draft Appendix E HyperAtlas Application Terms and Conditions of Use TODO
54. l be drawn in squares over the Russia SUR and BRA Surinam and Brazil are examples of units identifiers that are treated differently when drawing them on the maps by HyperAtlas Integer identifiers from 0 to 9 correspond to squares that must be drawn on the map they are used for overseas in Europe dataset A territorial unit with the identifier no data will be painted in white on the maps that are drawn by HyperAtlas This exception is used for North Cyprus in Europe datasets The chypre identifier is used to handle the particular case of the display of Cyprus island in the ESPON datasets 48 Draft Geometry input Draft 11 2 The MIF file 2 The information in this section is essentially based on the MapInfo Data Interchange Format document 2 Geographical units are described in an ASCII file by their X and Y coordinates The MIF file is made of an header section then a data section Figure 11 1 MIF file header ERSION n V Charset characterSetName DELIMITER c C Eal UNIQUE n n INDEX n n COORDSYS TRANSFORM lt name gt lt type gt lt name gt lt type gt As shown on Figure 11 1 the header can contain the following information VERSION the version of the MapInfo software CHARSET clause specifies which character set was used to create text in the table examples WindowsLatinl MacRoman or Neutral DELIMITER shows the charac
55. l units This list is available in the example data template that depends on the selected structure geometry mod el at previous step all values for all units must be filled Following sections describe the expected format sheets columns and possible values for the version 2 of this data x1s stocks file 13 1 1 About Table 13 1 provides an example for this mandatory sheet in the data v2 input xls file Table 13 1 V2 sample About sheet VERSION TIME ENABLED 2 TRUE This sheet aims at identifying the version of the format of this data file Currently 2010 2011 only the value 2 is possible for the VERSION column The expected value for the TIME ENABLED column is a boolean only TRUE or FALSE values are possible The TRUE value shows that values are available for the sames labels of indicators at several dates for example the population in 2000 the population in 2002 The FALSE value shows that each indicator is given for a single date 13 1 2 Data Table 13 2 provides an example for this mandatory sheet in the data v2 input xls file 64 Draft Stocks input Draft Table 13 2 V2 sample Data sheet UT_ID pop2000 pop2002 area2000 gdp2000 gdp2002 AT111 1 15 2 7 10 AT112 3 16 4 8 11 AT113 5 17 6 9 12 This sheet must provide at least three columns UT_ ID then at least two indicators identifiers in Hy perAtlas there must be at least one num
56. las applet has been signed with a CNRS 2 standard certificate CNRS is an acronym for Centre National de la Recherche Scientifique Thus the security warning window Figure 4 1 which is opened before the startup of the application is expected The user can insure about the content he is about to execute by opening the details of the certificate as shown on figures Figure 4 2 and Figure 4 3 Draft Standard HyperAtlas startup Draft Figure 4 1 Security Warning Warning Security The application s digital signature cannot be verified Do you want to run the application Mame HyperAtlasApplet Publisher MOT VERIFIED Benoit Le Rubrus From file ff O Always trust content from this publisher Run Cancel More Information The digital signature cannot be verified by a trusted source Only run if yeu trust the origin of the application JVM Applet execution security warning displayed window before startup Figure 4 2 Security Warning More Information Warning Security X More Information x A This application will be run without the security restrictions normally provided by Java A The digital signature was generated with an untrusted certificate Certificate Details Gees Leur conce The digital signature cannot ba werifiad by a trusted source Only run if yeu trust the origin of the application Mare klee eta The user has clicked the More information link on the bottom of the
57. last visit July 2011 Version 1 6 0 03 b05 ton line Xalan Java Version 2 7 1 http xml apache org xalan j last visit 18 november 2009 Version 2 7 1 on line Apache FOP http xmlgraphics apache org fop download html last visit July 2011 Version 0 94 80 Draft Draft Colophon This document was generated 2013 07 05 15 25 58 year month date hour minutes seconds from the svn rev 1088 of the docbench project Based on DocBook technology this document is written in XML format sources are validated with DocBook DTD 4 5CR3 then sources are transformed to HTML and PDF formats by using DocBook xslt 1 73 2 stylesheets Documents generations were automatized with ant 7 java processors Xalan and FOP 2 Xslt standard stylesheets are customized in order to get a better image resolution in PDF generated output for admonitions icons the generated sizes of these icons were turned from 30 to 12 pt ton line DocBook org http www docbook org last visit november 2009 on line Apache Ant Welcome Version 1 7 0 http ant apache org last visit 18 november 2009 S on line Developer Resources For Java Technology http java sun com last visit 18 november 2009 Version 1 6 0_03 b05 Ton line Xalan Java Version 2 7 1 http xml apache org xalan j last visit 18 november 2009 Version 2 7 1 19 on line Apache FOP http xmlgraphics apache org fop download html last visit 18 november 2009 Vers
58. list of maps for these parameters as images files the table of generated results for these parameters E In expert mode the generated report also includes expert tabs as images the three equi repartition maps the tab showing the Lorenz curve and the main statistical indexes 38 Draft Tools Draft the boxplots chart the spatial autocorrelation chart Figure 8 5 shows an extract of the generated table of results including all values for all units as they can be seen on the Details box see Figure 8 1 Figure 8 5 Screenshot of a generated report Wi ESAR pieno i ute Tenn FY i i RR EE i i i M A si o ON ER i EIS erem r esse eccone HERE DOBLE t ge i i i I I I mi Tas aa ER r r Locss ate Licei Sn 5 i i i i i 3 rn TIN UE me i i i i i i pr cit Veri ha i i i I om i Eal ai El 117 153 18 225 ET au 133 Large deta cr Workspace data ATIL ISTEIERMARE Al 0533 IAE This screenshot shows an extract of the generated report index html file that has been opened by in web browser This image shows the last map synthesis and the start of the table that includes all results 39 Draft Draft Chapter 9 Standard HyperAtlas Expert Mode This chapter describes a set of tools that have been integrated since the version 2 of Standard Hyper Atlas As this set of cartographic and statistic tools are mainly designed for more advanced users they ar
59. lobal has been renamed General Medium has been renamed Territorial Local has been renamed Spatial Figure 7 5 Contexts box Contexts for the Deviations B General ESPON area kd 22 900 IK A Territorial MUTS 0 Spatial Contiquty Is The Contexts box allows to set three references for their associated deviations general territorial and spatial contexts The general context may be the whole chosen study area In such a case the associated map will be the same as the associated map to the ratio itself So the user may choose another general context or a reference value For instance in the example of the EU even if the study area is the 29 potential countries it may be of interest to observe the spatial differentiations according to another global ref erence for instance the global value associated to EU15 For this level the user may also exogenously enter a value By default this value has first been set to the value of the global area The territorial context on the other hand has to be a geographical zoning that is an aggregation of the elementary zoning that was previously chosen The spatial context shows which proximity relation will be the basis of the neighborhood s definition for each elementary unit That is usually contiguity but it may also be a relationship based on distances since they have been introduced in the hyp file units that are less than X kilometers far from or t
60. local one Thus what is represented is the deviations to the three reference values associated to these different levels Let us take the example of the European union as a set of 25 countries at the level of the region NUTS2 for instance and let the observed index be the wealth per resident in the regions GDP inh It is possible with Standard HyperAtlas to consider the level of wealth of the regions relatively to three territorial contexts and not only from an absolute point of view The chosen contexts may be for instance respectively 1 the whole European Union 2 the country 3 the neighborhood defined by contiguous regions Standard HyperAtlas proposes for such an indicator a set of maps and charts that will be furthermore described in MTA parameters and Tools First maps show the selected study area both the parent distributions as disc maps here wealth and population and their ratios that is to say the chosen index s one Then three maps show the relative deviations to the three chosen contexts as choropleth maps For the above example the deviation of a region to the European reference area the deviation of a region to its national reference area and in the third place the deviation of a region to the local reference area Then two synthesis maps allow to evaluate the different combinations of the three previous relative deviation maps More advanced users are also provided a set of new tools like the maps o
61. maps or charts clicking on this menu item a popup window is opened displaying a frozen image of the current visisted tab Two options allow to manage the behavious of the mouse cursor e The Turn Pan menu item allows to enable the moves of the maps inside the window e The Turn Histogram menu item is only enabled for the synthesis map it displays for each region the three contextual deviations see synthesis as an histogram 27 paragraph Other tools available on this menu Create a study area menu item is described below Enable expert mode menu item is described in Standard HyperAtlas expert mode chapter of this document Borders options use this item to choose the colors of borders of territorial units for example Language this menu item opens a dialog box that provides the list of available languages for the interface of the frame The internationalization feature is currently available in english french and romanian The default language at startup depends on the locale of your system english by default This version 2 of Standard HyperAtlas allows to define a new study area On clicking this menu item the user is invited to enter a name for his her new study area and to select the top levels units as a rule countries that will compose this study area Figure 6 7 shows the example of a user who wants to define the benelux study area He she selects Belgium Luxembourg and Nederlands units then clicks the Submit b
62. mple input UnitArea sheet eee 56 12 7 Sample input UnitZoning sheet uei SEE SEER FRO ERG Tina EE ERG AE Heg Ee Ge a 57 12 8 Sample input Language sheet eee 57 12 9 Sample input UnitLanguage sheet eee 57 12 10 Sample input AreaLanguage sheet ee 57 12 11 Sample input ZoningLanguage sheet ei 58 12 12 Overview of expected sheets for contiguity input i 58 12 13 Sample input Contiguity sheet intasare 59 12 14 Sample input ContiguityLanguage sheet eee 59 12 15 Sample input Neighbourhood sheet eee 60 12 16 Sample input NeighbourhoodLanguage sheet e 61 12 17 Sample input ContiguityZoning sheet eee 62 12 18 Sample input ContiguityArea sheet sss meme 62 12 19 Sample input UnitContiguity sheet eee 62 12 20 Example of needed sheets number sse 63 13 1 V2 sample About sheet i ul EE EE EE SEE SEE SEG Ge ge 64 13 2 V2 sample Data sheet e eu eee 65 13 3 V2 sample Default sheet vnus NEN eee reete 65 13 4 V2 sample Label sheet es Enn mme emere 65 13 5 V2 sample Metadata sheet Sn M meg eren 66 13 6 V2 sample Provider sheet 7 66 13 7 V2 sample RatioStock sheet TA AM NEL iii 67 13 8 V2 sample StockInfo sheets
63. must contain three columns whose header cells must be zoning_ID Language_ID and zoning_NAME Example Table 12 11 Sample input ZoningLanguage sheet Zoning_ID Language ID Zoning NAME Nuts_0 FR Nomenclature des unit s territoriales de niveau 0 Nuts_1 FR Nomenclature des unit s territoriales de niveau 1 Nuts_2 FR Nomenclature des unit s territoriales de niveau 2 Nuts_3 FR Nomenclature des unit s territoriales de niveau 3 Nuts_2_3 FR Nomenclature des unit s territoriales de niveau 2 3 12 2 Contiguity input optional AE This section presents the optional contiguity definition input data file Table 12 12 Overview of expected sheets for contiguity input Excel Sheet Name Contiguity Description List of identifiers for contiguities Contiguity Language Names of the contiguities in different languages A translation may be missing See Content of contiguitylanguage Neighbourhood Unique code for a neighbourhood that is associ ated to a contiguity a threshold and a compara tor The comparator shows if two UT are neigh bours or not See Content of neighbourhood Neighbourhood ContiguityZoning Names of neighbourhoods for each language A translation may be missing See Content of neighbourhoodlanguage A distance matrix is available for one or several meshes See Content of ContiguityZoning ContiguityArea A distance matri
64. n 1 2 0 Brush 0 1 Center 2140313 457 1623802 989 Start of the entry for the first territorial unit in our data section This region definition will be associated to the identifier on the firts entry of the MID file The 2 parameter near Region shows that this region is made of two polyogons example France may be considered as a region made of two polygons metropol and Corse island The first polygon of this region is set with seven points whose coordinates in X Y forms are given on following lines Pen a b c Brush a b and Center x y specifications are optional and they will not be read by HyperAdmin The second polygon of this region is defined with five points whose coordinates are given on the five following lines Here is the start of a new Region definition As the second entry of the data section this region definition will be associated to the identifier on the second line of the MID file Region 1 indicates that this region is made of one polygon SI Draft Geometry input Draft This line shows the number of points that compose the polygon 11 points whose coordinates are successively given on 11 folloging lines 11 3 Layer of main cities HyperAtlas can handle additional layers of information that can be displayed over the maps Currently May 2011 only a layer showing the main cities has been tested and can currently be supported The expected format for this cities layer incorporation into the dataset
65. ny value chosen by the user See Also Deviation Deviation when the context of an unit is defined by the set of units that belongs to its neighbourhood for instance adjacent units contiguous regions by default See Also Deviation Deviation when the context is defined by a territorial unit that be longs to a chosen higher zoning level which contains the consid ered unit See Also Deviation Established by EUROSTAT for over 30 years NUTS is a terri torial subdivision system used in Europe in order to provide a single uniform breakdown of territorial units for the production of regional statistics in the European Union 1 The NUTS zon ing nomenclature for Europe organizes all units in a hierarchy of levels NUTS O groups administrative units at country level France Germany Spain Italy etc NUTS 1 groups administrative units at great region level ILE DE FRANCE BASSIN PARISIEN EST CENTRE EST etc NUTS 2 groups administrative units at region level R gion in France L nder in Germany Comunidades autonomas in Spain regioni in Italy ILE DE FRANCE RHONE ALPES PACA etc NUTS 3 groups administrative units at departement level D partement in France Kreise in Germany Provincias in Spain Provincie in Italy Essone Is re Savoie etc NUTS 4 and NUTS 5 are now deprecated levels that are re spectively replaced by LAU 1 and LAU 2 LAU acronym stands for Local Administrat
66. on of outlines If the MapInfo MIF file may set different types of graphical primitives point line polyline etc the HyperAdmin software only expects the polygon type in order to describe the outlines of territorial units Eeach TU whose identifier is given in the MID file see Section 11 1 must be associated to a new entry in the MIF file under the data section IN THE SAME ORDER as a Region entry In 50 6593124 448 445989655 Draft Geometry input Draft Maplnfo a Region object consists of one or more polygons Let us describe an expected Region entry using the definition example shown on Figure 11 2 Figure 11 2 Example of two Region entries in the MIF file Data section Data Region 2 9 70 108071 871 293320 749 96339 456 282096 297 102833 097 261179 193 106485 534 258631 56 123883 98 262981 491 122621 886 282959 13 108071 871 293320 749 Pen 1 2 0 0 Brush 0 1 Center 110111 718 275976 153 50 407753 01 311500 065 417000 993 311417 496 411718 965 289228 641 406514 985 302217 573 407753 01 311500 065 Pen 1 2 0 Brush 0 1 Center 411757 989 300364 353 Region 1 6 11 0 2186917 593 1518464 703 2186829 009 1692861 786 2129979 423 1729141 275 1933829 46 1729141 275 1928265 747 1699690 677 1922979 RAMO 161 SEO 2 1928499 903 1666190 274 1941660 768 1656068 01 2005909 794 1679948 187 2047505 1 1676110 68 2186917 593 1518464 703 Pe
67. perAtlas frame overview se 15 6 2 Screenshot of the File menu se 16 6 3 Screenshot of the View menu ioni detis bet eR ERE Roe EUR IRE REP ERR P VR EE Ke 16 6 4 Display submenu options cities layer eee 17 6 5 Displayed CES AE EE epe meet 17 6 6 Screenshot of the Tools menu eee 18 6 7 Study area creation window Ni 19 6 8 Study area creation success ie 19 6 9 Map of the new study area 07 INE 20 6 10 Screenshot of the Session menu ee 20 6 11 Screenshot of the Help menu EE ese LR eese 20 7 1 Study area fields c een ice Eumene 23 7 2 Combination of study area and elementary zoning esee 23 7 3 Indicators box e tee Nee e mme e eee 24 7 4 Numerator denominator and ratio tabs ennemis 24 7 5 Contexts box N N VA Meses EE 25 7 6 Deviations maps tabs A ciali iii iii meme iii 25 7 7 Synthesis map options sm RO i iii 26 7 8 Synthesis map tab AA MR iti 27 7 9 A deviations synthesis histogram for a regiion ee 27 7 10 Legend of the dual synthesiSiina pezza Peet 29 7 11 Dual synthesis map red units ee 30 7 12 Dual synthesis map BE US os Es EES e A toas 31 7 13 Dual synthesis map yellow units e 32 7 14 Dual synthesis map final typology e 33 8 1 Details box for the synt
68. qualities at medium level Analysis of inequalities at local level Synthesis of inequalities at large medium and local level Export of results towards a report Of course users are free to develop their own paths of investigation and we can imagine different types of scenarios where users do not follow steps 1 to 7 but they adopt different strategies Let s now consider the following examples to demonstrate the benefits of a Multiscalar Territorial Analysis approach thanks to Standard HyperAtlas Example 1 A stakeholder interested in the reform of structural funds after 2013 will probably use a path of investigation following the type 1 gt 3 gt 7 that will be repeated many times in order to test various scenario of allocation of funds For example what happens if NUTS2 is replaced by NUTS3 GDP pps is replaced by GDP in Euro the threshold of 75 of EU mean is replaced by 80 Turkey joins EU etc Example 2 A local decision maker mainly interested in its region may use a path of investigation following the type 1 gt 6 gt Save map if the objective is to quickly extract three figures describing the situation of the regions at European National and Local levels for a given criteria He she can then decide to click on other regions in order to benchmark its situation with neighbouring areas or to identify other regions with the same strength and weaknesses He she can also decide to modify the indica
69. r eee HUTE O Available in expert mode 9 4 Spatial autocorrelation chart The spatial autocorrelation chart is only available when the expert mode is enabled Foreach territorial unit of the study area this chart crosses the values of the spatial deviation on absissa axis with the values of the territorial deviation on ordinates axis This chart is very interesting for expert users as it reveals spatial dependancy e g spatial organization of a phenomena More empirically the chart can also be used to examine the situation of outliers and exceptional units out of the cloud of points The compute of this chart is based on a Moran s coefficient of spatial autocorrelation variant The regression line is drawn in red on the chart its equation computed by the least squares method is displayed on the left corner of the frame as shown on Figure 9 5 Each unit is drawn as a blue square its name is displayed in a tooltip when the mouse comes over the square 43 Draft Omonnatar Nital pipidaza i cu kr rakar Horaris EDE IE E Standard HyperAtlas Expert Mode Eis rap Todi Besar kid ra ard Zoning HF Ek dy Ana y HE Henar Dam Figure 9 5 Spatial autocorrelation chart Draft TT gg a ee h o oa o a e e 1 1 i i i a 1 i i 1 1 1 i i cr nd kern dyi nii ar 1 1 LI 1 i 1 1 Ei Large det Cr em mm mm mm mm pone mne pi e pie mi FU LA mms 1 4
70. re les unit s en camion min utes Neighbourhood txt Neighbour This sheet must contain four columns whose header cells are hood Neighbourhood ID see Note about expected languages identifiers Contiguity ID Distance and Compara tor Possible values for the Comparator cells are e lt e lt gt gt Example 59 Draft Structure Contiguity input Draft Table 12 15 Sample input Neighbourhood sheet Neighbourhog d tiguity_ID distance comparator CAR lt 360 CAR 360 lt TRUCK lt TRUCK 360 lt 360 CAR lt 540 CAR 540 lt TRUCK lt TRUCK 540 lt 540 CAR lt 180 CAR 180 lt TRUCK lt TRUCK 180 lt 180 NeighbourhoodLanguage txt This sheet must contain four columns whose header cells are NeighbourhoodLanguage Neighbourhood ID Language ID ISO 639 language in 2 digits Neighbourhood NAME e g the name of this neighbourhood and Neighbourhood DESC e g a descrip tion of this neighbourhood In the following example neigh bourhoods are translated in english EN and french FR 60 Draft Structure Contiguity input Draft Table 12 16 Sample input NeighbourhoodLanguage sheet Neighbourhodd dilbuage_ID NeighbourhoodNdbkklifirhood DESC CAR lt 360 EN 6h car Units at less than 6 hours by car TRUCK lt EN 6h truck Units at less 360 than 6 hours on a truck CAR lt 540 EN 9h car Units at less than 9
71. rs of the analysis ndicator to select stocks or pre defined ratios Contexts for the deviations to select the references of computed deviations amain panel composed of the generated maps Figure 6 1 Standard HyperAtlas frame overview HyperAtlas Mozilla Firefox OX File Edit View History Bookmarks Tools Help amp ve ntp 127 0 0 1 8080 hypercarte validLicense v a f HyperAtlas dh v File View Tools Session Help Area and Zoning Indicator Contexts 9 study Area R gion Rh ne Alpes F Numerator Population de 15 ans ou plus titulaire d un w E Large ARR Bonneville w 102 OK Elementary Zoning Arrondissement vw Denominator Jeunes scolaris s de 7 11 ans tudiant d w 9 Medium D partement Ratio Numerator Denominator w Small Contiguity v 6 Area and Zoning Numerator Denominator 0 Ratio m Large deviation Medium deviation a Small deviation Synthesis 3 Ei Synthesis 2 Legend Options Explanation Study Area and Elementary Zoning n 0 38 76 km Study Area Unstudied A No data lt gt To change the Study Area and the Elementary Zoning please select a value in the Area and Zoning panel above Details Unit GRENOBLE NUTS code 381 Numerator Denominator Mica LIG AY TEAM Ratio RIATE i Relati
72. s m Eng Pike dedi Dd Paie d ky Pea FC i emmek De Lc RARI hana rare mas Fr r Zum v Bicolor discs map 9 3 Boxplots chart For each unit in the chosen medium context NUTS 0 for example in Figure 9 4 this chart shows the dispersion of the medium deviation for the territorial units at sub levels NUTS 2 level in Figure 9 4 A boxplot typically provides the following information two lines show the values between the minimum and first quarter Q1 the third quarter and maximum Q3 a box shows the interquartile Q1 Q3 aline shows the mediane value The Standard HyperAtlas boxplots chart may be displayed horizontally or vertically the colors may be adapated to the user s conveniance 42 Draft Standard HyperAtlas Expert Mode Draft Figure 9 4 Boxplots chart Dis ur Dada mani pale Arg an Zoning CETTE CCR Lamela Gii han Cir iiien 27 BEP ar ni F S impe csm STO e dd Werne Zarra marth 3 Ue TU TT ies T Mme PASTE E E ra nm Gwal Cart mw Aietan MD are reunion RE edur redatibatan Wi pera secan liams carwn on Boeaur E Sara atocar k area and Zosing Hurd e DTi Opie miargedpamim a Medi dode gt Bread chrwirtian V yr esha Hasta rt el Vertical Color cf iha man Cyl aedi isso limen a forseb untbe ar kaal MUTE 2 Color ed the orgue do COIN bowers cr madium desiatior Dep ere Color pd ghe medina Limia g
73. s tabs and their main focuses Area and zoning Numerator Denominator Ratio E General deviation H Territorial deviation a Spatial deviation ie Synthesis This map shows the chosen study area and elementary zoning This map shows the chosen study area and elementary zoning This map shows the value of the chosen denominator indicator for each unit of the elementary zoning This map shows the distribution of the ratio numerator denomi nator over the units of the elementary zoning This map proposes the relative perspective of the distribution of the ratio over the units of the elementary zoning each absolute measure is put in relation with a reference value The reference value is common for the whole area The index value is 100 when an elementary unit has exactly the same value than the reference value or area It is 200 when the elementary unit measure is twice the measure of the reference area it is 50 when this is half the measure of the reference area This map proposes the relative perspective of the distribution of the ratio over the units of the elementary zoning each absolute measure is put in relation with the value of its upper unit in the reference zoning The index value is 100 when an elementary unit has exactly the same value than its reference unit It is 200 when the elementary unit measure is twice the measure of the reference unit it is 50 when it is half the measure of the reference unit
74. same state and the value 0 for regions belong ing to different states Spatial context Cj shows the potential level of local interac tions between two regions i and 3 The local interaction may be for example defined by a boolean variable which takes the value 1 for contiguous regions and the value 0 for non con tiguous regions Currently we have decided that a region is not neighbour to itself Locii 0 but it is possible to choose the solution where a region is part of its own neighbourhood Locii 1 Many alternative solutions are possible according to the definition of the neighbourhood criterion kilometres time cost length of common boundary and to the mea sure of the potential level of interaction This parameter may not be a boolean but a continuous probabilistic function be tween 0 and 1 See Also General deviation Spatial deviation Territorial devia tion The set of elementary units compose cover the whole area and constitute the elementary zoning See Also Elementary zoning Smallest division of the studied area Each unit of this zoning is called elementary unit See Also Elementary unit 75 Draft General deviation Spatial deviation Territorial deviation NUTS Nomenclature of terri torial units for statistics Report Stock Study Area Ratio Annex glossary Draft Deviation when the context of reference is the general area The reference can be an available study area or a a
75. se note this version when reporting an eventual bug as described in Annex when things go wrong 21 Draft Draft Chapter 7 MTA parameters This section focuses on how to set the parameters for a Multiscalar Territorial Analysis MTA 73 As its title suggests it the next section An example of multiscalar typologies of re gions first describes the main concept of such an analysis Please read it in order to efficiently benefit of the provided tools by Standard HyperAtlas v2 2 Some screenshots of this chapter were performed with a previous version of HyperAtlas Though the graphical user interface has been updated since this version the concepts remain the same 7 1 An example of multiscalar typologies of regions Taking account the European level as an example this section focuses on the importance of consid ering the multiscalar typologies of regions in political decisions When the policymakers want to build political scenari or when they want to evaluate propositions of structural funds they need to get a synthetic view on the situations of regions which depend on the various territorial contexts The question of perequation transfer from advanced to lagging region is very sensible and it is important to propose a complete view of the scales where those perequation processes can take place according to the principle of subsidiary As an example we analyse how the picture of lagging regions is modifie
76. sen in HyperAtlas for different dates Identically for the values in the VALIDITY END column Though VALIDITY START and VALIDITY 1 tervals setting the same value in both columns makes the ratio associated to a timestamp END columns are designed to handle time in The expected format for both valididy start end date fields is currently a year in the yyyy pattern An input like 2010 12 31 is possible but this version of the application will only take into account the year that is to say 2010 for this example 13 1 8 Stocklnfo Table 13 8 provides an example for this mandatory sheet in the data v2 input xls file Table 13 8 V2 sample StockInfo sheet STOCK ID LABEL ID MEASURE_UNYRLIDITY STXREIDITY ENVISIBLE FLA pop2000 1 1000 2000 2000 TRUE pop2002 1 1000 2002 2002 TRUE area2000 2 km2 2000 2000 TRUE gdp2000 3 euros 2000 2000 TRUE gdp2002 3 euros 2002 2002 TRUE 67 Draft Stocks input Draft This sheet mainly aims at providing the identifiers of the indicators of the dataset Here are a short description for each column of this sheet STOCK_ ID each value in this column must be unique Any doublon will overwrite the previous found identical value This column lists the identifiers of the indicators that are referenced in the other sheets Note that several indicators may be associated to the same label lines 2 and 3 for example though they exist to distinguish the values of t
77. t Are Rega poi Greg pense COTE EE REELE it B aber Tau arm ver Errem n marcar ra arm Wet Appicsam amo L0 2 8472 tud IZ 503271435 ada pr PU Bree rau Demy eni LO Pbi nde TT pM mul Links to the Standard HyperCarte User s Manual and version information Draft Draft Chapter 3 Registered users Once logged in with a valid login password pair available topics in the main menu bar of an authen ticated session depend on the current user s status a user whose status is simply registered can use Standard HyperAdmin integration tool to generate new dataset hyp files Figure 3 1 Registered status menu bar Welcome HyperAtlas HyperAdmin Dataset Log off Help The main menu bar of the Web application for an authenticated user whose status is Registered a user whose status is advanced can not only use Standard HyperAdmin but he she can also submit new datasets hyp files in order to make them available to everybody from the Dataset page of the application Figure 3 2 Advanced status menu bar Welcome HyperAtlas HyperAdmin Dataset Log off Help The main menu bar of the Web application for an authenticated user whose status is Advanced Of course any available feature to all users see All users chapter is also available to registered users The tools of the authenticated session can be summarized as a typical scenario in three steps 1 create a new dataset as building a new dataset is quiet an advanc
78. t file is called an hyp file example demography hyp Standard HyperAdmin is the tool to generate hyp files from your a set of input well formed files The steps to generate an hyp file and the workflow between Standard HyperAdmin and Standard HyperAtlas is summarized in the Figure 10 1 Figure 10 1 Standard HyperCarte Workflow 1 2 3 Input data from files Data integration Dataset ATM x with HyperAdmin visualization Uu Geometry with HyperAtlas xls Structure gt HyperAdmin gt r HyperAtlas EF VA Standard HyperAdmin and Standard HyperAtlas data flow To sum up the main expected input files are the geometry of the dataset in MapInfo MIF MID formats the MIF file the MID file the structure of the dataset as an x1s Excel OpenOffice file the stocks of the dataset as an x 1s Excel OpenOffice file As shown on Figure 10 1 creating a dataset hyp file consists in 1 preparing your dataset geometry as a MIF MID files pair MapInfo format 2 preparing your dataset structure as a speadsheet structure xls file 3 optionally preparing a distance time matrix as an x1 sfile for custom contiguities 4 preparing your dataset stocks as a spreadsheet Excel OpenOffice data x1s file 5 generating the dataset hyp file with Standard HyperAdmin Following chapters describe each above step for integrating your data into an hyp file 47 Draft Draft Chapter 11 Geometry input 11 1 N N
79. ter that is used to separate columns values if not specified tabu lation is the default delimiter UNIQUE parameter must be a number that refers to a database column this parameter is used to create related tables INDEX parameter a number or a comma separated list of numbers that shows the number s of the indexed column s the COORDSYS parameter sets the used coordinate system This parameter is essential in particular to compute the scale of the map By default when no CO ORDSYS clause is specified data is assumed to be stored in longitude latitude forms All coordi nates are stored with respect to the northeast guadrant The coordinates for points in the West of Greenwich have a negative X while coordinates for points in the East of Greenwich have a positive X Coordinates for points in the Northern hemisphere have a positive Y while coordinates for points in the Southern hemisphere have a negative Y Examples The following example represents a map of Europe centered on 50 N 15 E with a Lamber Az imutal projection that can be associated to the following bounds pair X min Y min CXmax gt Ymax The m option stands for meters as the unit CoordSys NonEarth Units m Bounds 2217175 1723801 1783333 Another setting for a map of Rh ne Alpes may be 2518193 CoordSys NonEarth Units m Bounds 691594 1893320 993392 2185448 TRANSFORM parameter can be used to convert coordinates
80. tio may implie the auto selection of the numerator and denominator fields values Three maps are respectively linked to these choices under three different tabs see Figure 7 4 The maps for the numerator and for the denominator size variables are represented with proportional circles The ratio map is shown with colored units according to the ratio value The number of classes and their associated colors the pallet tool can be can be set in the Option tab of the ratio map Figure 7 4 Numerator denominator and ratio tabs The three associated tabs to the chosen indicators are represented here for the study area EU 15 15 countries in Europe with the NUTS 0 value countries for the elemetary zoning the image on the left shows the Numerator map within its associated tab here the population in 2003 the image in the center shows the Denominator map within its associated tab here the area in 2 km the image on the right shows the Ratio map within its associated tab here the density 7 4 Setting the contexts for deviations As described in various contexts 9 paragraph the user has to define the three territorial contexts which respectively set three different levels of spatial observation global medium and local Fig ure 7 5 shows the select boxes to set these parameters The names of the references have been updated since the previous versions of Standard Hy perAtlas 24 Draft MTA parameters Draft G
81. to be built is a csv file This file is only composed of three fields these fields are separated by a comma character the name of the city the X coodinate of this city based on the MIF MID projection and coordinates system the Y coodinate of this city based on the MIF MID projection and coordinates system The following listing provides an example of the main cities layer definition csv file that has been used for European datasets EPSG 3035 Vilnius 5295673 924 3612560 328 Minsk 5460580 445 3560616 774 Dublin 3253284 971 3480193 09 Berlin 4547186 818 3272495 918 Amsterdam 3975886 565 3263689 867 Warszawa 5068508 328 3293815 926 London 3620060 313 3202333 12 Bruxelles Brussel 3927032 583 3095975 903 Kyiv 5751996 553 3239855 146 Praha 4639737 703 3008973 669 Paris 3769691 587 2891825 057 Wien 4790135 661 2807741 98 Budapest 5003603 404 2753261 228 Bern 4128054 027 2651781 399 Beograd 5142183 84 2467117 484 Bucuresti 5593724 067 2506886 924 Sofiya 5408445 047 2274434 026 Tirana 5143864 946 2078891 927 Madrid 3164690 758 2032301 915 Ankara 6248076 399 2163898 451 Helsinki 5144699 201 4208069 911 Zagreb 4784474 809 2540154 601 Nicosia 6434072 209 1668719 112 Luxembourg 4054388 133 2965578 225 Bratislava 4859375 987 2822228 019 Tallinn 5154761 636 4105585 175 Sarajevo 4997878 051 2344715 534 Skopje 5274194 7 2172377 111 Athina 5518075 047 1777730 958 Kishinev 5733746 751 2835203 886 Copenhagen 4481880 455 3626362 309 is
82. tor and to explore the strength of weaknesses of his her region for various criteria GDP inh unemployment accessibility ageing etc Example 3 A spatial economist interested in economic convergence may decide to examine the situation of regions according to vertical contexts e g belonging of region to a state an INTERREG area and horizontal contexts e g difference between a region and its neighbours for different thresholds of Draft Overview Draft contiguity or distance He she will therefore follow the expected steps 1 to 7 but he she will probably introduce loops in the steps 4 and 5 in order to explore different variants of vertical and horizontal context The loop 1 gt 5 will for example provide answer on question like the GDP inh Of course the region of Budapest is greater than the neighbours for a distance of one hour by road but what happens for a distance of two hours on a truck Four hours etc Having established that different users will not pay equal attention to the different functions offered by HyperAtlas we can also suspect that expert users will expect more sophisticated functions than non expert users who will be on the contrary reluctant to enter into complex indicators or results Considering these different types of users Standard HyperAtlas v2 provides an expert mode see Standard HyperAtlas expert mode chapter opened on request by the user expert users or curious In summary the expert
83. utton Figure 6 8 shows the information message that is displayed when the creation is successfull The bene lux parameter is now available from the Study Area combo box of the parameters panel Figure 6 9 shows that interactive maps have been consequently updated on selecting this new study area Draft Overview Draft Figure 6 7 Study area creation window Create a study area Please select a name and the units of the new study area Study area name benelud AUSTRIA BELGIUM BULGARIA CYPRUS CZECH REPUBLIC C DENMARK ESTONIA C FINLAND FRANCE H GERMANY INCLUDING EX GDR FROM 1991 E GREECE C HUNGARY ICELAND O IRELAND LJITALY CILATVIA C LIECHTENSTEIN LITHUANIA LUXEMBOURG GRAND DUCH C MALTA NETHERLANDS Cancel Submit Provides the list of countries and a text field to enter a name for this new study area Figure 6 8 Study area creation success Create study aren The study area lt benelux gt has been successfully created Tip export the updated current dataset via the File Export hyp menu item Infomation message Draft Overview Draft Figure 6 9 Map of the new study area OE DE WWW ilo DOER IH HU T E dy pen 501 A pra bii E a Tps F gt mus 1E Zara nee acai ads an rem v amener ed gr ganu aet legs rr w L de pt PO ara fa JM Dee PI LI T ede Par di E Pai MES CU LET I Tanga r
84. ve deviat Powered by HyperCarte Research Grou Redistribution http hypercarte imag fr Done LE Standard HyperAtlas at startup 15 Draft Overview Draft Following sections first detail each item in the menu bar of the application 6 1 File menu Figure 6 2 Screenshot of the File menu Session File View Tools i 5 Open Ctrl o aa Open From URL El Save hyp d Save as image Ctrl S SE Build Report cti 4m Datasets This menu allows to open a new dataset hyp file from your disk or from an eventual known URL Unified Resource Locator to an hyp file located at a server on the Internet to save the current dataset to your disk as an hyp file to save the current displayed tab as an image PNG file to your disk to generate a report in HTML format including an image each current tab of the current analysis to be redirected to the Web Application Dataset page in order to load another on line dataset see Figure 2 2 6 2 View menu Figure 6 3 Screenshot of the View menu View Tools Session Help Ctrl Shift I Ctrl Shift 0 Ci Map Only Mode rii MK Display H I Parameters This menu concerns the appearance of the maps It provides menu items to zoom in zoom out and to choose the different panels that can be displayed as different parts of the window the Map only mode F11 allows to display the map frameset as wide and high as possible the Display
85. vides an example for this optional sheet in the data v2 input xls file 66 Draft Stocks input Table 13 7 V2 sample RatioStock sheet Draft RATIO_ID LABEL ID NUM ID DEN_ID VALIDITY_STXREIDITY_END 1 4 gdp2000 pop2000 2000 2000 2 4 gdp2002 pop2002 2002 2002 3 5 pop2000 area2000 2000 2000 4 5 pop2002 area2000 2002 2002 This sheet aims at defining relevant ratios for the HyperAtlas ratio combo box parameter Table 13 7 shows the example of two such predefined ratios each of them for two different dates e the GDP Inhabitant in 2000 second line e in 2002 third line The density of population in 2000 fourth line in 2002 fifth line Each value in the RATIO ID column must be unique Doublons will overwrite the previous found value Note that the LAB EL ID references the sames labels for the given pairs of numerator denominator at different dates 4 for lines 2 and 3 5 for lines 4 and 5 These labels identifiers must be set in theLabel sheet see Section 13 1 4 The values in the NUM ID column and the values in the DI of indicators that are defined in the StockInfo sheet see Section 13 1 8 EN ID column must match the identifiers The values in the VALIDITY START column will only be considered if the value of the TIME ENABLI ED column in the About sheet is TRUI E see Section 13 1 1 Then one relevant ratio can be cho
86. which are given in a different guad rant than the default northeast one 49 Draft Geometry input Draft COLUMNS parameter describes the data in the table of the associated MID file The n parameter specifies the number of columns Example Columns unit 1 Char 100 specifies one column named unit each value will be made of characters string type whose length 1s not longer than 100 HyperAdmin is quite sensible on the format of the header of the MIF file one information by line Here are some examples of the expected formats for the header of the more frequently recent and used MIF files European datasets used for ESPON HyperAdmin maps with the EPSG 3035 Coordinates system and projection Ve ch De Co Co Da Gans rsion 300 arset Neutral limiter ordSys NonEarth Units lumns 1 ID Char 50 ta EUROMED dataset Ve Ch De Co Co Da rsion 300 arset WindowsLatinl limiter ordSys NonEarth Units lumns 1 ID Char 10 ta e Metroborder dataset VE ch DE CO CO DA RSION 300 arset WindowsLatinl LIMITER ORDSYS NonEarth Units LUMNS 1 SHN Char 14 TA Um rond m Bounds Bounds Bounds 2600301 93555 4487557 26071 743051 308162917 145654 1249109 375 3722255 38453 The DATA keyword specifies both the end of the header of the MIF file and the start of the enumer ati
87. x is available for one or several study areas See Content of ContiguityArea UnitContiguity Each line provides the code of two UT following columns show the distance for Contiguity ID the header cell of each con tiguity column providing the identifier of this contiguity See Content of UnitContiguity Following listing provides an example for each expected sheet describing a contiguity definition Draft Structure Contiguity input Draft Contiguity txt Contiguity This sheet must contain one column whose header cell is ID Example the following sample sets two possible computations for contiguity distance time matrixes will be available for a car and for a lorry Table 12 13 Sample input Contiguity sheet ID CAR TRUCK ContiguityLanguage txt Conti This sheet must contain four columns whose header cells are guityLanguage CONTIGUITY_ID Language_ ID see Note about expected languages identifiers Contiguity NAME e g the name of this contiguity in this locale and Contiguity_DESC a de scription of this contiguity Example Table 12 14 Sample input ContiguityLanguage sheet Contiguity_IDLanguage_ID Contiguity_N MMihtiguity DESC CAR EN car time Time between units by car in minutes TRUCK EN truck time Time between units on a truck min utes CAR FR temps voiture Temps entre les unit s en voiture min utes TRUCK FR temps camion Temps ent
88. yperCarte Web Application see Figure 2 1 in All users chapter Based on the Java technology applet Standard HyperAtlas reguires a standard Web browser and a correctly installed Java Runtime Environment JRE plugin This JRE is available by default on all standard Web browsers whatever the platform is A version 1 6 or upper of the JRE is advised when available for your operating system Nevertheless on Mac OS X 32 bits platform the user can currently 2010 not select a more advanced version than 1 5 but Standard HyperAtlas is compatible with this version So please update your environment to get at least this version 1 5 of the JRE but prefer the 1 6 when possible For more information about your JRE please consult the following links last visit 20101228 e Verify Java version http www java com en download installed jsp How do I enable java in my web browser http www java com en download help enable_browser xml Mac OS X users Java Frequently Asked Questions http developer apple com java fag Before starting the application the user is warned that the HyperAtlas Applet is about to be run without the security restrictions that are normally provided by Java Indeed Standard HyperAtlas is allowed to read write on the user s disk to load a personal hyp file or to write an html report for example To overcome the default behaviour of Java Applets that are not allowed to write on the user s disk the Standard HyperAt

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