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Part I. ESPON HyperCarte Web Application

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1. IH em mem emen entente 40 8 4 Spatial zoom slider ben anna ss ti ngan HR sa us 41 8 5 Screenshot of a generated report ooooWooWoooWomo em eme ee mee nennen 42 9 1 Expert mode enabled oe E ere utere mh 43 9 2 Lorenz curve statistical indexes and explanations 44 9 3 Egui repartitiOn 45 9A Boxplots chart edar Sala uas RPM bas abal 46 9 5 Spatial autocorrelation chart 2 bee ttg ana aman 47 10 1 ESPON HyperCarte Workflow HII HI emere 50 11 1 First step selecta template rre e tete ame neng 51 11 2 HyperAdmin templates list onten nerenin EEE EE EE ae ne T ETS 5 11 3 EUROMED study area geometry template overview 52 11 4 EU 27 NUTS 2 study area geometry template Overview 53 11 5 EU 27 NUTS 3 study area geometry template Overview HA 54 11 6 EU 31 NUTS 2 study area geometry template Overview 55 12 1 Step2 provide your data 4 benua nenen nasa Rana 56 12 2 Upload data page
2. Desai D cxi nak d i Ae de Ud Madili dent irae E sein Dora Li 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 ESPON HyperAtlas boxplots chart may be displayed horizontally or vertically the colors may be adapated to the user s conveniance 45 ESPON HyperAtlas Expert Mode Figure 9 4 Boxplots chart Dis yar Dada Sean Ee Area jn Zoning Wah pin iare Ltd Aum armar nian 277 iperen Gi F Siege csm Abate Zarra ot 3 Rr und ien T E Rakin F Ged Cart Ed eaen radiki A Medium nedarbibatian SG peral recetas E karera naw Fook E Saata tocaran En MS Tari de miargedpamim dendam gt Erral chrwirtian V yr esha Hastag rt el Vertical unt ot keel MUTE 2 Color of ha man Cyl amd iaa of Mod deviatior Color the iroi art iio UD bowers Dipan Color pd ghe medina Limia gr eee HU
3. ajii os d This screenshot shows the synthesis map tab for the contexts that were chosen in the previous example shown on Figure 7 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 Krizi Cani Mumerainr ache population in 2000 Denominauor area in km in 1999 This screenshot shows the synthesis histogram of the clicked region named OUEST 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 ESPON HyperAtlas It aims at showing via a chromatic legend the status of territorial units on taking 30 MTA parameters 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 in
4. G RO GOIZTOCHEN GOZAPADEN ZHEN TSENT AN RALEN p P ES ION L IQU ITTELLAND PACE NO Z OSTSC ZENT RDWESTSC RICH HWEIZ RALSCHWEIZ HWEIZ ET p ST TI SEV ICINO CXE RA D RUS A DN C Z PAD PAD TE R HO ECHY SEV ROZAP HOD JI ST MO ST KA ROVYC HOVYCHOD RE ORAVA RAVSKOSLEZSKO UTTGART RLSRUHE 67 BRUXELLES CAPITALE BRUSSE PROV ANTW ROV ROV PROV ROV ROV PROV ROV PROV PROV SEV SEVE SEVE LS E Lr HOOFDSTI DELIJK GEW EST Annex templates units names DE13 DE FREIBURG DE14 DE TUBINGEN DE21 DE OBERBAYERN DE22 DE NIEDERBAYERN DE23 DE OBERPFALZ DE24 DE OBERFRANKEN DE25 DE MITTELFRANKEN DE26 DE UNTERFRANKEN DE27 DE SCHWABEN DE30 DE BERLIN DE41 DE BRANDENBURG NORDOST DE42 DE BRANDENBURG SUDWEST DE50 DE BREMEN DE60 DE HAMBURG D
5. Enable expert mode Borders options Gh Language The Popup Freeze menu item has been available since HyperAtlas v2 This functionnalitiy is usefull to compare several 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 The Turn Pan menu item allows to enable the moves of the maps inside the window 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 30 paragraph 20 Overview Other tools available on this menu Create a study area menu item is described below Enable expert mode menu item is described in ESPON 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 ESPON 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 com
6. 2 asn tenunan uh angen 24 TA Study area MELISA reete ie eode eve serie eves ese oe eroe eo pesi deg 26 7 2 Combination of study area and elementary zoning 26 7 3 Indicators box Penenang maan ld lia anna 21 7 4 Numerator denominator and ratio tabs 27 7 5 Contexts DO id Benda 28 7 6 Deviations maps tabs iei iddeu SYR Ss re na Banana 28 7 7 Synthesis map options A 29 7 82 Synthesis map ta Bisri t ree het ERU A ena Exe bende UT as 30 7 9 A deviations synthesis histogram for a regiion 30 7 10 Legend of the dual synthesis map sasa sma 32 7 11 Dual synthesis map red units HH mH He meer 33 7 12 Dual synthesis map blue US nido E S ea 34 7 13 Dual synthesis map yellow units He eme eee 35 7 14 Dual synthesis map final typology m emere 36 8 1 Details box for the synthesis Map oooooooWo WoooWoW Woman 38 8 2 Options for proportional circles YY HYLL i HH He 39 8 3 Options for deviation maps
7. As a convention these ESPON HyperAtlas dataset input files will be now called hyp files 2 A complete description of the ESPON HyperAtlas integration tool named ESPON HyperAd min is available from the ESPON HyperAdmin part of this document ESPON HyperAtlas is designed so it can load any dataset serialized as an hyp file From the Hyper Atlas 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 ESPON HyperAtlas loads a default dataset Economy and Social Affairs 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 Chapter 6 Overview ESPON 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 ESPONHyperAtlas 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 red
8. PT RO21 EN cra RO22 EN S eae RO31 EN oe O MUNTENIA a ILFOV 3042 EN a A OLTENIA SE11 SV c SE12 SV os SE21 SV rud MELLANSVERIGE SE22 SV SY rd ARNA o O d REA a MELLANSVERIGE pr dd id NORRLAND RE NORRLAND O SLOVENIJA di RE ET o AE KRAJ us dci END SLOVENSKO ue d 5 UKC1 E d EN tee ATIT NSKO U WEN 8 oii e ND TYNE AND WEAR vica seat UDIN HEY e MANCHESTER E dE d vs CASHIRE uen nA O Miu DE eee EIE is RKSHIRE a E a NN NORTHERN LINCOLNSHIRE aan TH YORKSHIRE a URF1 EN nn UKF2 RIRS JKE 3 EN LEICESTERSHIRE RUTLAND AND NOS KGL EN LINCOLNSHIRE RUTLAND AND NORTHANTS ELM MEN ron RDSHIRE WORC UKG2 EN ecu dE ESTERSHIRE 7 oo a STAFFORDSHIRE AND WARKS UKH2 EN Ar d HERTFORD ESSE SHIRE cio WENR Pan LONDON UKJ1 EN BE aa LONDON NU a a dML d HEU Em NS HAMPS f EAST AND WEST a UKJ4 EN ar HIRE AND ISLE R cai E OF WIGHT 71 Annex templates units names UKK1 EN GLOUCESTERSHIRE WILTSHIRE AND BRISTOL BATH AR UKK2 EN DORSET AND SOMERSET UKK3 EN CORNWALL AND ISLES OF SCILLY UKK4 EN DEVON UKL1 EN WEST WALES AND THE VALLEYS UKL2 EN EAST WALES UKM2 EN EASTERN SCOTLAND UKM3 EN SOUTH WESTERN SCOTLAND UKM5 EN NORTH EASTERN
9. the tabs are embedded in a scrollable list 9 1 Lorenz curve and statistical indexes The map of large deviation provided by ESPON 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 ESPON HyperAtlas 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 it 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 43 ESPON HyperAtlas Expert Mode amp 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 Pet vem Toe Bean rha rma ard Zoning Fratar Ca rete T hna na smeruanit wl E Harrursabes G
10. 10 1 ESPON HyperCarte Workflow 2 1 Select 2 Provide 3 Generate 4 Visualize in a structure your stocks the dataset HyperAtlas template 4 N ESPON N SPON p n gt xls Stocks gt HyperAdmin gt hyp HyperAtlas 5 25 fostgresQL N n P StGIS html ESPON HyperAdmin and ESPON 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 x1sfile for custom contiguities 4 preparing your dataset stocks as a spreadsheet Excel OpenOffice data x1s file 5 generating the dataset hyp file with ESPON HyperAdmin Following chapters describe each above step for integrating your data into an hyp file 50 Chapter 11 ESPON HyperAdmin templates Figure 11 1 First step select a template 2 Provide 3 Generate 4 Visualize in J your stocks the dataset HyperAtias 5 ESPON h SPO B Stocks HyperAdmin HyperAtlas x A A qe template When starting the creation of a new dataset with ESPON HyperAdm
11. 2 LIMITATION OF LIABILITY The user of the ESPON 2013 HyperAtlas assumes all responsibility and risk for the use of this server and the Internet generally The ESPON 2013 Programme disclaims all warranties representations or endorsements expressed or implied with regard to the information accessed from or via this server or the internet including but not limited to all implied warranties of merchantability fitness for a particular purpose or non infringement In no event shall the ESPON 2013 Programme be liable for any compensatory special direct incidental indirect consequential damages exemplary damages or any damages whatsoever resulting from the use of the data whether in an action of contract tort or otherwise arising out of or in connection with the use or performance of the information on this server or the internet generally or on any other basis 3 SERVICE COMMITMENT The ESPON 2013 Programme reserves its exclusive right in its sole discretion to alter limit or discon tinue the site or any materials in any respect The ESPON 2013 Programme shall have no obligation to take the needs of any visitor into consideration in connection therewith 4 OWNERSHIP The ESPON 2013 HyperAtlas system software material and data are protected by copyright and other laws respecting property rights 80 ESPON 2013 HyperAtlas Terms and Conditions of Use The ESPON HyperAtlas Application is owned by the ESPON Programme and develope
12. ESPON Area with 31 countries the lowest mesh level is NUTS 2 in its revision 2006 delineation as shown on Figure 11 6 54 ESPON HyperAdmin templates Figure 11 6 EU 31 NUTS 2 study area geometry template overview t Study Area and Elementary Zoning D ong ELL km de d Zoom ESPEN Delineation of the EU 31 NUTS 2 geometry template G Since version 1 0 2 of the application the eu27nuts2 eu27nuts3 and eu31nuts2 templates embed a layer that allows to display the main cities over the maps See Section 6 2 for more details about this service On clicking the name of the chosen template the user is redirected to the Input data page described in Stocks input next chapter G For your information the list of units names is given in the appendix Annex templates units names 55 Chapter 12 Stocks input Figure 12 1 Step2 provide your data Once the user has chosen a structure template he she is invited to submit his stocks for the study area Figure 12 2 shows the form page where he she can download the data template example for the selected structure upload his her own statistics and relevant ratios as described in Section 12 1 Figure 12 2 Upload data page DIPOM parao Web Applic Hp GaSe Ip Mai Bie Di yes Hyb Geakearks pob Esp E Qo oce an aa Pyg Ua y CRAFT ETUR Frid lu H pj LE ste Bp He a 4 ESPOM hppartaria Wab Application gt ae ESP IN TS
13. L13 4 IESLA 5 r NL AND N ND M E NL N OVERIJ oa N E oa E N ot NL E DERLAND p alis NL n FEVOLAND m Uu NL O RI 33 NL Mr on z P HOLTANDS L L 0 NA SEINBURG OND M NOT i d NL AU NO wo REN AKERSHUS a NOO a M I RR RR OG OPPTAN NO AGDER OG ROGAI D E a oos to ESTE OG ROGALAND N 6 NO TR B r Moe ud 7 a cee PL12 P pie ants PI E M CU PI i a ECKIE p d pL Ms OPOLSKIE PLII PL LASKIE p 7 E a 3D p o Dr SKIE r E frac A RF a o PL deu ae du Mire o io E NS p x amp ELKOPOLSKIE 2143 pr ZACHODN a a PL Lu IOPOMOR PL51 P RSS BUSKIE SKIE E PL52 PI US OLNOSLASKIE OPOLSKIE i 70 Annex X templates units names PL6l PL KU 2710 o Ed e RMINSKO MAZURSKIE A ag E a m n o QN M ENTRO PT D i PT20 Ee a a EJO Du QM ERR AUT NOMA DOS ACORE O ae _AUT NOMA DA PT EIRA
14. License serunai senada bang pt re ER ERE E Re need 5 2 2 Dataset Pag ieu Iri y GYDAG 6 231509 m Pape UU 7 ZA o 8 3 1 Registered status menu bar 2 semu rt erbe te YCC Eee Et pronta 9 3 2 Advanced status menu 88 esee ute eere aa 9 3 3 Hyps Upload form nan REP eI ED repre BR asa 10 4 1 Security Warning leng ii nan se aneh bae banana ha asian 14 4 2 Security Warning More Information 14 4 3 Security Warning Certificate Details eee cece cence e e emen 15 6 1 ESPON HyperAtlas frame OVerVieW iie ba Nas Ga me ea 18 6 2 Screenshot of the File menu eiie esensi 18 6 3 Screenshot of the View menu cei iie 0a ar et emang ana 19 6 4 Display submenu options cities layer cece eee YY cece cece cece Hee 19 6 5 Displayed CMS Hard eee PE an Benang Nas 20 6 6 Screenshot of the Tools menu 20 6 7 Study rea creation Window o asas Fee DOI ES EDDU Rak n ette prlde 22 6 8 Study area creation success ooooooooooooWoWooWoWomo mona 22 6 9 Map of the new study afea enirn decr enr ER PESA nas 23 6 10 Screenshot of the Session menu eee e e He He mee mener 23 6 11 Screenshot of the Help MENU
15. 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 12 1 7 RatioStock Table 12 7 provides an example for this optional sheet in the data v2 input xls file Table 12 7 V2 sample RatioStock sheet 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 59 Stocks input This sheet aims at defining relevant ratios for the HyperAtlas ratio combo box parameter Table 12 7 shows the example of two such predefined ratios each of them for two different dates 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 LABEL 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 12 1 4 The values in the NUM ID column and the values in the DEN ID column must match the identifiers of indicator
16. SCOTLAND UKM6 EN HIGHLANDS AND ISLANDS UKNO EN NORTHERN IRELAND UT ID La B 2 EUROMED template units nguage_ID UT_NAME W11111 EN Denmark W11112 EN Finland W11113 EN United Kingdom W11115 EN Ireland W11116 EN Iceland W11117 EN Norway W11118 EN Sweden W1ITI2T EN Austria W11122 EN Belgium W11123 EN Switzerland W11124 EN Germany W11125 EN France W11126 EN Luxembourg W11127 EN Netherlands W11131 EN Spain W11132 EN Greece WIl133 EN Italy W11134 EN Portugal W11135 EN Cyprus WITIZ6 EN Malta w11211 EN Czech Republic 11212 EN Estonia W11213 EN Hungary W11214 EN Lithuania W11215 EN Latvia W11216 EN Poland W11217 EN Slovakia W11218 EN Slovenia W11221 EN Albania W11222 EN Bulgaria W1L1223 EN Croatia W11224 EN Macedonia TFYR W11225 EN Romania W11226 EN Serbia Montenegro W11227 EN Bosnia and Herzegovina W11228 EN Turkey W11231 EN Armenia W11232 EN Azerbaijan W11233 EN Belarus W11234 EN Georgia 72 mi EA Annex templates units names W11235 EN Moldova Rep of
17. W11236 EN Ukraine W11240 EN Russian Federation W12111 EN Algeria W12112 EN Western Sahara W12113 EN Libyan Arab Jamahiriya W12114 EN Morocco W12115 EN Tunisia W12121 EN Egypt W12122 EN Israel W12123 EN Jordan W12124 EN Lebanon W12125 EN Syrian Arab Republic W12126 EN Occupied Palestinian Territories W12211 EN Kazakhstan W12214 EN Turkmenistan W12215 EN Uzbekistan W12221 EN United Arab Emirates W12222 EN Bahrain W12223 EN Iran Islamic Rep of W12224 EN Irag W12225 EN Kuwait W12226 EN Oman W12227 EN Qatar W12228 EN Saudi Arabia W12229 EN Yemen W13126 EN Chad W13213 EN Eritrea W13217 EN Sudan 13329 EN Mali W1332A EN Mauritania W1332B EN Niger W1332C EN Senegal 73 Appendix C 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 M
18. and their main focuses Area and zoning Numerator Denominator amp Ratio El General deviation H Territorial deviation a Spatial deviation ig 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
19. ao t 2002 Protection des donn es Loi du 18 avril 2001 Droits d auteur les droits voisins et les bases de donn es The visitor acknowledges having read these Terms and Conditions agrees to abide by them The visitor also agrees that the Terms and Conditions supersede all proposals and or prior agreements oral and written and any other communications between the parties 81 Appendix G About This document is part of the ESPON HyperCarte Web Application This document is expected to be available from the HyperCarte Web Application Help menu item in HTML and PDF formats Credits Images were retouched with The Gimp l e Formulas were generated to PNG format from LaTeX instructions with Tex2PNG amp For any comment question or suggestion please visit http www espon eu or contact lt manager espon eu gt fon line GIMP The GNU Image Manipulation Program http www gimp org last visit 28 april 2009 on line TEX2PNG Conversion d une formule LaTeX en image PNG http www nawouak net cat informatics tex2png lang fr last visit 25 may 2010 82 Colophon This document was generated 2013 07 05 15 23 32 year month date hour minutes seconds from the svn rev 1088 of the docbench project Based on DocBook technology 3 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 Docum
20. as images files the table of generated results for these parameters 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 41 Tools 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 Eye CERIS nf Muatan i H IAEA H i 1 ai W i Ha 4 i i i were c de ty a Ser SA aran Esas nas EE Lose emo EA S i I L I T nA Tas cr e ele Kl s E m i i i i i E i UE p i H i i i rJ L L i L L L Pra a i LV i i 1 1 la l 1 1 1 NEM i i i i Eal mi a Bl 41 baa 185 aah zu amr 153 Large dia inn Workspace data ATIL ISTEIERMARE 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 42 Chapter 9 ESPON HyperAtlas Expert Mode This chapter describes a set of tools that have been integrated since the version 2 of ESPON Hyper Atlas As this set of cartographic and statistic tools are mainly designed for more advanced users they are
21. 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 LABEL_ID column may be referenced from the StockInfo sheet see Sec tion 12 1 8 and from the RatioStock sheet see Section 12 1 7 12 1 5 Metadata Table 12 5 provides an example for this optional sheet in the data v2 input xls file Table 12 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 12 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 12 6 Likewise the values in the STOCK_ID column must match the identifiers that are defined in the StockInfo sheet see Table 12 8 12 1 6 Provider Table 12 6 provides an example for this optional sheet in the data v2 input xls file Table 12 6 V2 sample
22. dataset Indicator es and Zoning Elementary Zoning NUTE2 wl Dencerinater Henaminaror u Rata Rana gt amp Area and Zoning Numerator Denominator Ratio 7 General deviation 5 Ter Explanation Study Area and Elementary Zoning im E study Area b Unstudied ES yir To change the Study Area and the Elementary Zoning please Toba select s value im the Area ard Zoning panel shows Details Ural TA SUOMI rpm HUTS code FIL3 Mumerator h Dnominatos me 4 re Ratio au Eb dim d by the Eurcesn Regional Development Func E 5 P N Absolute devi UVESTINOS IN TOUR FUTURE Selected new study area 6 4 Session menu Figure 6 10 Screenshot of the Session menu FS Open session parameters Save session parameters This menu allows to save the parameters of the current analysis to an ESPON 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 _ A session parameters file is specific to a dataset An error occurres if you try to load a session 7 parameters file that was built while using another dataset 23 Overview 6 5 Help menu Figure 6 11 Screenshot of the Help menu ser s manual i About this dataset About this software This menu provides the following items Help F1 opens a new browser window to the on line user s
23. 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 the population in 2000 and 2002 LABEL ID each value in this column must reference an identifier defined in the Label sheet see Section 12 1 4 60 Stocks input 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 12 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 co
24. 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 equi repartition maps respectively for large medium small contexts of reference they are described in Section 9 2 section e a tab showing a Lorenz curve and a table computing relevant statistical indexes This feature is described in Section 9 1 section e a tab 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 egui repartition map for the large context the list of tabs is shown on Figure 9 1 Figure 9 1 Expert mode enabled i botani E AA AS MA W Aran we 7 mar 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 Mac OS X 5 operating system with a JRE 1 5
25. portance for the regional cohesion because they are strongly connected with the action of economic or social actors 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 Chapter 4 ESPON HyperAtlas startup r Before starting ESPON HyperAtlas ESPON HyperAtlas is available on line from the ESPON HyperCarte Web Application see Figure 2 1 in All users chapter Based on the Java technology applet ESPON HyperAtlas requires 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 ESPON 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 Q
26. 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 39 Tools Figure 8 3 Options for deviation maps 9 Area and Zoning Numerator Denominator 3 Global Deviation Mediu Explanation Deviation ro UEP Edit global deviation palett x Legend Faleris Calor Classes nup N 2 Number 1 2680 Progressian 50 m D Artthmeical 233 eA 145 0 en Threshalds Edit 3080 125 lt us 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 equal amplitude better choice when the distribution is symmetric around 100 geometric for classes with an increasing amplitude the thresholds that can be edited for each class 8 4 Zoom I
27. 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 parameter 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 29 MTA parameters Figure 7 8 Synthesis map tab Gabe kiim Lani Lugares pd mios
28. 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 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 ESPON 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 ESPON 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 ind
29. wen consti in peng your Eni br te chown opie Your dea mal be come rem anh comen em plane dick fe mlgaing jp seirieve ani of the e ue ced dorm rudem impida lo rrr ua e hpr dau ii fii pt Maaza ht e UG a FAD Canet Links Sax Mag L gal bobos PUPIP LAR gw vibes 2y Me Raponi Pato TIFE PH YDLIE FLTUAT us Slee ll AA On this page the user can both download an example and upload his her own spreadsheet file providing the stocks values for the dataset he she wants to generate Cliking the Parse data button triggers the upload of the input data file to the server then its parsing Depending on the size of the uploaded file and the number of stocks and ratios to parse this step may take a while Please do not click again the submit button as long as the page has not reloaded and displayed any success or failure message In the case when the input data file has been successfully parsed the user is redirected to the Build page see Build page 56 Stocks input If the input spreadsheet file does not respect the expected format an error message is displayed at the top of the page 12 1 ESPON HyperAdmin input data file for mat This section describes the stocks statistical data file that ESPON HyperAdmin expects as input Please note the following requirements for the input data file the input data file
30. yt ira in IF MEC 19 Un cece ir ca Cra 313 Liat HAW GY d SH Feiern ioo 3 4 CH Porra impie contiguity Dontiguity computing begins Ling ITS im mid irme o ALTI the corrum Fry ang rni in Bpa mser Ln JTS m oda pou Hos nae Tin 000101 of Eos usi oribgu a lor pariiryg iei 2 im 230 miliisi Compuiod A Tong rmk 2 in Sel miliseconds Uang ITS and prre conri daia comet see re COND a BS dol zo nma par 3 ME mE be SEHE Compaen do ruere sapa BHT Corrpuied 100 mera msc 2017297 of Fe con ai Fer aing rant 1 im TES rr Tulli seconds ape porrguiry Sang emp a The Mn has een urce gente ine the BOLL IMO LL MHA Fyn fie Lack he El peri Vok lo pi gi gt MYA ey E Deas Fasd Err h a Aidt ny Tm Repo vomer rg A eng ee ee bem PE MOTT 0130011548 han Lal Clicking the link at the bottom of the page invites the user to download his her generated dataset as an hyp file 64 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 ESPON HyperAtlas software Like most of Java applets the ESPON HyperAtlas software displays logs messages to the Java Con sole This window is not en
31. 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 ESPON HyperAtlas v2 provides an expert mode see ESPON HyperAtlas expert mode chapter opened on request by the user expert users or curious In summary the expert 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 Lorenz curve and statistical indexes Gini index Hoover index coefficient of variation Boxplots e Spatial autocorrelation chart Part I ESPON HyperCarte Web Application This part describes the main pages of the ESPON Web Application embedding the ESPON HyperAtlas and ESPON HyperAdmin applications 2 Some pages are only available to registered users hence th
32. 6 12 1 ESPON HyperAdmin input data file format 57 RAT 57 12 1 2 Data nette ois 57 12 13 Default 4 2 a cr naa Wee root ste 58 121 4 Label 3n ERI ce unt alah 58 12 1 5 Metadata san benua ben Ger Suasana angan gni 59 121 6 Provider ihe BN pn Sanu ai 59 12 17 RatioStOCK A Nasa anakanak 59 MARIE AA et dense tede rte GOF ea eee oes 60 13 ESPON HyperAdmin bulld 5 erret rere ana 62 A Annex when things go wrong III eI emen ent ent enm entre rennen 65 A T Known bugs 65 A 1 1 HyperAtlas is frozen sese teer dre Fn te asah 65 A 1 2 Deviations maps Update etre err ER RR EEE PS 66 A 1 3 Multiple boxes appear oo ooooooooWoWmooW om Woman 66 B Annex templates units names dr oett re Re re PR DR Re Re nias 67 B 1 EU 31 NUTS 2 template units ninesi rtr emere 67 B 2 EUROMED template units en terree ie rre EE PER aan 72 lil ESPON HyperCarte Web Application C Annex acronymS RN 74 Di Annex glossaty Ss ia Na RN sa asas ba 73 By Anriex references See too am ea tens Ber tan headtu enact a ha A e ten Baal alasan 79 F ESPON 2013 HyperAtlas Terms and Conditions of Use esee 80 Gy p M HA 82 List of Figures 2 1 ESPON HyperAtlas
33. 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 e 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 indicator 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 Overview contiguity or distance He she will therefore follow the expected steps
34. Cele Mae epee e Wee Haikal Mods Peete Be bit Yew Hiper baimei os mb EDO P pu epa 2127 008 1 BH Ed HyparCario rur plik acer CARON Pepartana Wins dppicanon 33 Er par cora ne be pum manm eed beer chee ymu ee HTML Cri ani rt lis md paa lara br ra POPIL Pyr nu Docuit Portal eros Pi Dae ATL on n nds AE optica For Eg CIO SR Cien Farsunter fran abou the Hype rane RESET imp pre pe cones s ien mug i TUS HEN Dish n BUH ne A ht E a Lio Fari hrama hy En apren Kere Farri IL EL Mac Fu fuis lly AA AT 1p CR IDA Aa LL AA DAC LOTTO 131 1 398 ESPON Hera ie action Links to the ESPON HyperCarte User s Manual and version information 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 auser whose status is simply registered can use ESPON HyperAdmin integration tool to generate new dataset hyp files Figure 3 1 Registered status menu bar Welcome HyperAtlas HyperAdmin Data The main menu bar of the Web application for an authenticated user whose status is Registered auser whose status is advanced can not only use ESPON HyperAdmin but he she can also submit new datasets hyp f
35. DAER ER YD sa ana 25 7 3 Setting the indicators esee eene aah 26 7 4 Setting the contexts for deviations 27 4 5 Th synthesis maps iiie na ea Kandang 28 7 5 1 Ternary synthesis MAP beng eter es agan 29 7 5 2 Dual synthesis map babe susunan em manisan 30 8 ua FERRY FR AFF NE FFA A NAT FN RE ERR D sn na anna 37 8 1 Review of available maps tabs FY FL diod uu 37 8 2 Appearances and functions of the mouse cursor 38 8 3 Legends options and explanation tabs 39 SAE ZOOM Sini E 40 8 5 Report c aei mana nasa RR ben ea 41 9 ESPON HyperAtlas Expert Mode esses HH Heer 43 9 1 Lorenz curve and statistical indexes 43 9 2 Egui repartition map o eere tse rte Re Re RR Rr ask 44 9 3 Boxplots chart ovio esa sana bae enu 45 9 4 Spatial autocorrelation chart 46 HL ESPON By p rAdimin estroncio ama senam 48 10 ESPON HyperAdmin Overview 50 11 ESPON HyperAdmin templates sese 51 12 StOCKS 1000 sys O 5
36. E71 DE DARMSTADT DE72 DE GIEREN DE73 DE KASSEL DE80 DE MECKLENBURG VORPOMMERN DE91 DE BRAUNSCHWEIG DE92 DE HANNOVER DE93 DE L NEBURG DE94 DE WESER EMS DEAL DE D SSELDORF DEA2 DE KOLN DEA3 DE MUNSTER DEA4 DE DETMOLD DEA5 DE ARNSBERG DEB1 DE KOBLENZ DEB2 DE TRIER DEB3 DE RHEINHESSEN PFALZ DECO DE SAARLAND DED1 DE CHEMNITZ DED2 DE DRESDEN DED3 DE LEIPZIG DEEO DE SACHSEN ANHALT DEFO DE SCHLESWIG HOLSTEIN DEGO DE THURINGEN DKO1 DA HOVEDSTADEN DK02 DA SJELLAND DK03 DA SYDDANMARK DK04 DA MIDTJYLLAND DK05 DA NORDJYLLAND EEO0 ET ESTONIA ES11 ES GALICIA ES12 ES PRINCIPADO DE ASTURIAS ES13 ES CANTABRIA ES21 ES PAIS VASCO ES22 ES COMUNIDAD FORAL DE NAVARRA ES23 ES LA RIOJA ES24 ES ARAG N ES30 ES COMUNIDAD DE MADRID ES41 ES CASTILLA Y LE N ES42 ES CASTILLA LA MANCHA ES43 ES EXTREMADURA ES51 ES CATALU A ES52 ES COMUNIDAD VALENCIANA ES53 ES ILLES BALEARS ES61 ES ANDALUCIA 68 Annex templates units names ES62 ES REGION DE MURCIA ES63 ES CIUDAD AUT NOMA DE CEUTA ES ES64 ES CIUDAD AUT NOMA DE MELILLA ES70 ES CANARIAS ES FI13 FI IT SUOMI FI18 FI ETELA SUOMI FI19 FI LANSI SUOMI
37. ESPON HyperCarte Web Application Multiscalar Territorial Analysis User s Manual 4 1 cB HyperCarte Powered by HyperCarte Research Group for ESPON ESPON HyperCarte Web Application Multiscalar Territorial Analy f ese HyperCarte 4 sis User s Manual Powered by HyperCarte Research Group for ESPON Abstract This document provides the minimum information about how to use ESPON HyperAtlas and ESPON HyperAdmin from the ESPON HyperCarte Web Application version 1 0 2 Table of Contents Introductions ane ae states ena ne BN anna viii 9 Wi S iN AI esta lest eile Ri dia 1 I ESPON HyperCarte Web Application sei eeemenemen eene hene 3 2 All Sets iiis 4 3 Registered sets ine NN aia e BEN RN En 9 ESPON HyperAtl s coincida neng naa 11 4 ESPON HyperAtlas startup cerne e Peter nasa nana 13 5 ESPON HyperAtlas input dataset sess HH erre 16 UNO RA 17 0 1 File MENU zuo oC ERR RE smash 18 6 2 VIEW MENU eec ied nen ue prn NN Nasa 19 6 3 A e p PEE Mene FY RET 20 6 4 SESSION menu epe Et Hee E bete Ere sated NN Na 23 6 5 Help meni ns eR retenti etim ssi 24 7 MTA parameters NE Dn 25 7 1 An example of multiscalar typologies of regions 25 7 2 Setting the Study Area ain eset re
38. FILA FI POHJOIS SUOMI FI20 FI ALAND FR10 FR LE DE FRANCE FR21 FR CHAMPAGNE ARDENNE Eal FR22 FR PICARDIE FR23 FR HAUTE NORMANDIE FR24 FR CENTRE FR25 FR BASSE NORMANDIE FR26 FR BOURGOGNE FR30 FR NORD PAS DE CALAIS FR41 FR LORRAINE FR42 FR ALSACE FRA43 FR FRANCHE COMT FR51 FR PAYS DE LA LOIRE FR52 FR BRETAGNE FR53 FR POITOU CHARENTES FR61 FR AQUITAINE FR62 FR MIDI PYR N ES FR63 FR LIMOUSIN FR71 FR RH NE ALPES FR72 FR AUVERGNE FR81 FR LANGUEDOC ROUSSILLON FR82 FR PROVENCE ALPES C TE D AZUR FR83 FR CORSI FR91 FR GUADEL FRO2 FR MARTINIQUE FRO3 FR GUYANE FR FR94 FR REUNION FR GR11 EL ANATOLIKI MAKEDONIA THRAKI GR12 EL KENTRIKI MAKEDONIA GR13 EL DYTIKI MAKEDONIA GR14 EL THESSALIA GR21 EL IPEIROS GR22 EL IONIA NISIA GR23 EL DYTIKI ELLADA GR24 EL STEREA ELLADA GR25 EL PELOPONNISOS GR30 EL ATTIKI GR41 EL VOREIO AIGAIO GR42 EL NOTIO AIGAIO GR43 EL KRITI HULO HU KOZ P MAGYARORSZ G HU21 HU KOZEP DUNANTUL 5022 HU NYUGAT DUN NT L HU23 HU DEL DUNANTUL HU31 HU SZAK MAGYARORSZ G HU32
39. HU ESZAK ALFOLD HU33 HU D L ALF LD IEO1 EN BORDER MIDLANDS AND WESTERN IEO2 EN SOUTHERN AND EASTERN ISOO EN ICELAND LI 7 p P p E 69 Ann ex t emplates units na mes TT a IT E c2 Mop n y EMONTE ITC3 r VALLE QUIT E D AOST nic ui A VALL E D AOS one ppm Scena a TES p2 r PROVINCI ioa 175 PROVINCIA AUTONOMA BOL IT VENE A AUTONO OLZANO B D4 IT p NETO MA TRENTO OZEN DER RIULI IT E I VENEZ ITE 7 EMII ZIA I Bo T ood 152 OSCANA LTESC WW UMBRIA 1114 IT i eT 0 ITEZ I odd rd TIES aoa es ITF4 oe ee eee a aa ua RAS ano TELI LABRIA 1162 TT SARDEGNA T IE EN no HUANIA LV0O I r LUXEMBO Lv URG UA GRAND DUCHE NL11 N as b uncos E 124 NL PRTESTAND
40. LAU acronym stands for Local Administrative 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 77 Workspace Annex glossary Figure D 2 Ratio BLOC Kis LE rator hato 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 78 Appendix E Annex references Some usefull links 1 ESPON Coordination Unit ESPON on line http www espon eu last visit 1 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 79 Appendix F ESPON 2013 HyperAtlas Terms and Conditions of Use This applicat
41. OF pare JNE T Lam Custer IT ae Tk Arima Zanire Tej T Dmnnnaar lite pi alat hadas T aclara PUTS ES AT Rag T 7oEmud Corre gt A AE Meur redtsbatiri EME rave ares ard Tebing 2 remmer a Dina melar A Iin B Lahe dridim Hedin drisi Erral shrwisliin 77 moria nias Pena em n 1535 Gn 03757 mand 116055709 LET Cama murzm des iras Gide dramau Dian isa inang oa naco tl ateo tha marin of importas He Lorena curve m 3 proche sopresa boe the cumulative Brierib iion Function of the empirical p laldEy dabrbztian gl melyn Lets comers remera Y GDA for semeia shares papa iti E Tre Lorena Danes CI pra conte the cur a ha aroportos of populsbon and CIE when tar frac re giore wit tha Ope mhebitarg Bete figire zbows an aeszmgla ot tho Loren mara applied bo thes cme of COP Tha Laet cuna En red ibosi Pait 30 of the por on poorest regem have orly 2998 the bata account af OOP of ihe total OOF baka bo lesa hor mh oi pepe n ache rw Em 17 23 3n 49 30 Cual s pne ef total populgnen 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 The equi repartition maps indicate which process of redistribution
42. S dairadan sreci 3 gt E Tra Correo area cesar tha adi tz du ben and agin bi ignores al a lari 73 Bum 200 1207 codos Th da provi damojngtic enira nac dnd rama FE dea ESPOR AM BOLO Biik nacidos PSP in Ffei TS 3003 dir adn AMETE aT PIPON DO ard DOMECH deta m ELIT 24 area Lower level AUTE fasion reten 2008 Cis Doro Dyn DIT IHRE FD OF POL LR CT Ts 4 ein ah Aker ps ir nde POLAR y GA AC Varias Ix TW LR par Ar PR ida rong hr A d A EAD Corer Links Tm Un Legal Hire A il ILL ELT Man Fu u e A o 1 1 DI EN Aerie a 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 All users Figure 2 3 Log in Page RT YY YV v gt Laj A WL Dm Bt Yaw Hor Dena om mb gt nesirpaiambESgeN pta se A ELPON Harana Wiat Appication dp Fontan login peor funi agi rid ja mum ee a FA Farmer Linky Se Magi Legal Home at ul BENE o o mmm m rm mrs ln gt AT lu ae Dae XILECIOEONOR hem 1111 ON AA SM Hyer Carin Ysg mn Ln tarts e gt Forgotten login and Not registered yet links are not implemented yet Just check a miss ing feature page is returned on clicking these links All users Figure 2 4 Help EPON Bye
43. TE 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 46 ESPON HyperAtlas Expert Mode Figure 9 5 Spatial autocorrelation chart Ie bc O i i i i a Hedin dimi ahi ert E i T P 3 a oo L gt Omonnatar li pigiad hirin bedi rabur E Hururabee ba NET aseos lt SA a a JE z H PU ir A hie gifs 1 gg 1 lt lange d
44. 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 37 Tools 8 2 Appearances and functions of the mouse cursor RJ 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 e 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 Figure 8 1 Det
45. aa End SPON PypasCarum Vb Application gt ale ESPBEN Lighynd a rema daiam Fryn edi Be serere n Se ym rmi em Breast Poje nena Partidas he PENA O EA PU BOP AN UNION nacos ag mie Ea rocas Regioni Faso BVI TIS TH YOUR FUTURE meum Kp AAA MU ds pO rien A ee mp ur 2T bi AOSHVE PON Her rCari kh pel ri don Requires an hyp file a name and a description for the dataset to be added D Please test your hyp file with ESPON HyperAtlas before submitting it as it will be available 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 administrator of the server 10 Part ll ESPON HyperAtlas ESPON 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
46. abled by default on most of standard browsers If ESPON 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 e 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 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 ESPON HyperCarte Web Application 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 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 ESPON 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 Fi
47. ails box for the synthesis map Details Unit GUY ANE FR NUTS code FROS Numerator 2 560 000 Denominator 200 Ratio 12 200 Relative devia 56 47 123 Absolute devi Details Umi FE AME CFR HUES code PES Hurmnaretor 2 560 000 Denominator 200 Fatis 12 800 EURCPERM LlKKIH Paksi devia 56 4 123 7 Fart nanced sy the European appnal Deseippreent Fent tar aemmistrakroa bsurdaniaa Absolute dai ES INVESTING IK YDUR FU Tot 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 30 38 Tools 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 The user may also set
48. arkup Language 74 Appendix D Annex glossary Some definitions Deviation The relative deviation of a given region i to a context is defined by equation Figure D 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 75 Elementary unit Elementary zoning Annex glossary Figure D 1 Mathematical formula of the relative deviation Num RO wee 100 Den 5 Cig Num js 2 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 Deny is the value of the indicator chosen as the Denominator parameter for the territorial unit x ci is a boolean whose value depends on the chosen context General context cj 1 if the current territorial unit j is in cluded in the reference area C70 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 O for regions of the candidate countries Territorial context CJ 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 Cj
49. d on the Hy perAtlas software The data and material included in the ESPON 2013 HyperAtlas is a shared property of the ESPON 2013 Programme and the Transnational Project Groups delivering the data material The HyperAtlas software is the property of the Hypercarte Research Group Code sources of the ap plication ESPON HyperAtlas remain the property of the HyperCarte Research Group Participants of the HyperCarte Research Group are the LIG STEAMER and LIG MESCAL research teams which both belong to the LIG laboratory UMR CNRS 5217 the G ographie cit s laboratory UMR CNRS 8504 and RIATE UMS CNRS 2414 and their respective supervision research institutes CNRS INRIA Universit de Paris 1 Universit de Paris 7 Institut National Polytechnique de Grenoble Universit Joseph Fourier and Universit Pierre Mend s France 5 TECHNICAL SUPPORT For any question or demands for assistance regarding the ESPON 2013 HyperAtlas please contact lt database espon eu gt 6 APPLICABLE LAW The use of the ESPON 2013 HyperAtlas is subject to existing laws and legal process The Terms and Conditions of Use of the ESPON 2013 HyperAtlas shall be governed by the laws of Grand Duchy of Luxembourg Any dispute arising shall be subject to the personal and exclusive jurisdiction and venue of the Grand Duchy of Luxembourg The most relevant laws on this issue are Loi du 30 mai 2005 Protection des donn es et communications lectroniques Loi du 2
50. e 2 1 ESPON HyperAtlas License ESPOSA Hype Cele TM ilw Ae gt Lise Haid lla liwiau Da dt Www Hore poimia om Hak PO amp id noi 17 508 ADS EE SPON HiperCarinniiaraa aciur lt e ESPON FparCarta Misi Appication gt api ee visi Arati yn Aa pert Mess iius ME PA Hy aer Blas ESPON 203 Hyprr tine Terra and Cord tine o L3 This application Es protected by copyright law ESPON 2013 AI rights reserved read the terms and conditions af use carefully USE RESTRICTIONS Capire ta boo Joop rhu E Pisana rwym a ype reqeinkez a awyn Eyes Eee eon 15 cr appa priar LE SS a E FAD tue Limas Gr Pagicn Dari Fi inen TH Ea ES Fano Th VOR AASE Hen 11131 DJ AA PON HynarCarinynitiicwrma actor The license must be read and accepted by the user before accessing the ESPON HyperAtlas applet All users Figure 2 2 Dataset Page lt 2 Dalam Pil A Be Bt Yew pm Gima os pb a DA re eerie m ET EA rin arth Ac pcan gt ja E E Gori ran Caine Land crew ESSE 19 CYF das about fe rd ige in 20086 n PTA HOG dei naar Lana Lee Bn Cyamia and PY PRA m E EBON D DE anc daa Li peas nr raphas anc CH Es BASA dicssa A dad Torn aar ons easi TORI Gps ama Lower kayet HUTE
51. e following dedicated chapters pages for any users are described in All users chapter pages for registered users are described in Registered users chapter 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 2 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 ESPON HyperCarte application HyperAtlas when the user accepts the conditions of use see Figure 2 1 he she can execute the ESPON HyperAtlas v2 applet This applet allows then to perform a multiscalar territorial analysis on a default dataset currently Economy and Social Affairs Please consult ESPON HyperAtlas part of this document for further information on how to use ESPON HyperAtlas Dataset for further analysis this page provides a list of available datasets that can be loaded by the ESPON HyperAtlas v2 Figure 2 2 Log in 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 All users Figur
52. e parameters The names of the references have been updated since the previous versions of ESPON Hyper Atlas 27 MTA parameters Global 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 ESPOW area 22 300 IK Territorial NUTS O gt Spatial Contiquty YNN YN I 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
53. ents generations were automatized with ant a java processors Xalan and FOP 7 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 3fon line DocBook org http www docbook org last visit november 2009 ton line Apache Ant Welcome Version 1 7 0 http ant apache org last visit 18 november 2009 3fon line Developer Resources For Java Technology http java sun com last visit 18 november 2009 Version 1 6 0 03 b05 on line Xalan Java Version 2 7 1 http xml apache org xalan j last visit 18 november 2009 Version 2 7 1 7fon line Apache FOP http xmlgraphics apache org fop download html last visit 18 november 2009 Version 0 94 83
54. ess bar appears after a few seconds in the foreground of the window the backgound page functionnalities are disabed 62 ESPON HyperAdmin build id eT 7 Please do not click the submit button as long as the page has not completly reloaded and displayed a success or failure message 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 displayed on this build page In case of success Figure 13 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 yyy yMMd 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 The use of Microsoft Internet Explorer browser may disturb users when clicking the link by 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 63 ESPON HyperAdmin build Figure 13 2 Successfull build DEPOR Hpsertarhm Web Appice gt Hupardrr m gt Sucre creatis Horia Perio LE Be E Wm Hgery Bootes Job ain EG e PERUTI AMIDA UON Arpas basa peed Me MUN Mag born
55. eviatian Available in expert mode 47 Part Ill ESPON HyperAdmin Table of Contents 10 ESPON HyperAdmin Overview cece ean eo T EET ESEE 50 11 ESPON HyperAdmin templates oo 51 12 Stocks ew rer e EP ERE rr PR RD PR SERRE ED 56 12 1 ESPON HyperAdmin input data file format 57 12 11 About enses EE 57 AI Data ceu nu Td died BA EN NN BEE 57 12 1 3 Default mn eii naa en angan 58 12 14 abel sn ana en asha 58 12 157 Metadata asean rer D Ib e ku qv na BE 59 121 6 Provider A A AI ii 59 12 1 7 RatioStoCk i rui gene Sans an Ban Ds an Bana 59 12 158 StocklInfo cueca hs ena ben agen an Bu ba aa ana 60 13 ESPON HyperAdmin build sent nee san anna abah 62 49 Chapter 10 ESPON HyperAdmin Overview In order to perform Multiscalar Territorial Analysis with ESPON 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 ESPON HyperAtlas dataset input file is called an hyp file example demography hyp ESPON 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 ESPON HyperAdmin and ESPON HyperAtlas is summarized in the Figure 10 1 Figure
56. ex 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 of redistribution the Lorenz curve and a chart of spatial autocorrelation 2 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
57. f 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 modified 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 fro
58. gure A 1 A simple action allows to workaround this bug simply resize your window Figure A 1 Java console stroke shape error al F ART Tes EUA mis Da 5 Exception n thar NTE Ja lang Inbernalzrrzr Lnacla Sirake shape iretPin TA mea ld cen Santai arii ab Suc ju gppz Leop ipz qeSt sketpasslboositise aa EZ T at mun jasad pipe Lzapzips drawiLapzPiza java 167 at eu mo3d Ops Ree Toe ara ega mo were drea Pes Mo Para Te oyani oe er Ia al sur jad Su Grcpheu 20 dym uri og heu 20 goed 2555 PAI nmm A Y e Eom m TT I Elnar Copy cioa Displayed log message when the maps of HyperAtlas seem frozen 65 Annex when things go wrong 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 66 Appendix B Annex templates units names For both available ESPON HyperAdmin templates see Stocks input this appendix provides the lis
59. he Area and Zoning panel above zoom EuroGeographics Association for admi Du amp CeCAN Pan norced by the Europem Regional Dev opment Fund INVESTING IM YOUR FUTURE Details Unit NUTS code Numerator Denominator Ratio Relative deviat Redistribution Done ESPON HyperAtlas at startup 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 View Tools Session 5 Open Ctrl o Cm Open From URL E Save hyp Save as image Ctrl 5 Build Report Ctrl 4m Datasets This menu allows toopen 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 18 Overview 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 Tools Session Help Zoom In Ctr Shift I Zoom Out Ctrl Shitt 3 Map Only Mode IM Parameters This menu concerns the appearance of the maps It provides menu items to z
60. iio aa BAN Sa NN 56 13 1 Dataset information FOTO ice eite rte tr RR SIY FdA Ere e eR 62 ESPON HyperCarte Web Application 132 Successful Dui cies 64 A 1 Java console stroke shape error YY HYLL oWmoooWoW oma 65 D 1 Mathematical formula of the relative deviation 76 A A I E PUMA Meu Ii PRSE 78 vi List of Tables 12 1 12 2 12 3 12 4 12 5 12 6 12 7 12 8 N2 sample About 3 57 V2 sample Data sh et e ener usa 57 V2 sample Default sheet on resa ng asa sin ana 58 V2 sample Label sheet 2 ma teng sebenar 58 V2 sample Metadata Sheet sesiis sena sama aa anakan 59 V2 sample Provider sheet eec erect asean anta 59 V2 sample RatioStock sheet repe en anus 59 V2 sample StockInfo sheet oom nro nenne nhe mee hehehe 60 Vil Introduction The next chapter Overview proposes an overview of a typical Multiscalar Territorial Analysis MTA session with ESPON HyperAtlas v2 Then this document aims at providing an user s manual for the usage of the following applications ESPON HyperAtlas ESPON HyperAdmin 2 First of all please insure that you have carefully read the ESPON 2013 HyperAtlas Terms and Conditions of Use Both previous applications were historical
61. iles 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 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 advanced subject the detailed use of ESPON HyperAdmin is further described in the ESPON HyperAdmin part of this document 2 check your newly created dataset hyp file from ESPON HyperAtlas see ESPON HyperAtlas part of this document 3 submit the dataset advanced status users only as described below How to submit new dataset hyp files 9 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 Registered users Figure 3 3 Hyps upload form MAR parao Web Apel A come ai Bie DEU Yew ey Deuhraru Bob Eb E ul 5 SE amb PON Fapm LaSm ci
62. in the user is first invited to choose the model of structure on which he she wants to add stocks As shown on Figure 11 2 the choice simply consists in clicking the name of the template among the ones that are listed and described in the table of this page Figure 11 2 HyperAdmin templates list U S Wel depan gt Ada gt ee d YV ieg Melle Bie DRE view Hery pmm ok Hala EDO t np 1 POP yp Epi ue ESPN 4 ESPON hpperCar a Wab Application gt ole Pese gt immplmm mong the Poling Ist We Miri thot mul id is e Gee sed nm e ETLET WE Em enpi Er posers hp Ciber emp sne fee ie t uisi ee Bl e Pha B sirio AAA GTO peA d spatial Cea age Ticona De EUROMED Aran Tha lw kog Ln n 70 WUT3 da pionaj up eau a Nilo 2000 12 24 14 37 48 RORO ffri 24 Dac 201014 Trin tardar ral Genre y usd empleo pron 4 gorn ny zva 11 Fraga gi coa rei ie th NUTS POCHE da min ad fri ria HLUTI 2 ausim MAT SC Do Cerra y er EY dad E dn ub DA SD 14 57 45 0506 24 Dal BL 8 ht See UG a FAI Conme Links Sax Mig Lapa karina PU BOP AN NICR Bar Preces ay me Ea itor Reyna Derai Fuad AVESTE DE YOUR FUTURE su Lets Melee Lesage I AA PEPITO DHVE ACA Her rari pan ieee gt The table lists the available templates of st
63. indicators identifiers that must match two of those defined in the StockInfo sheet see Section 12 1 8 12 1 4 Label Table 12 4 provides an example for this mandatory sheet in the data v2 input xls file Table 12 4 V2 sample Label sheet LABEL_ID LANG_CODE NAME DESC 1 EN Total population Total population in thousands 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 This sheet aims at providing the internationalized names and descriptions for the indicators and pre defined ratios The LAB lish LANG_CODE EL ID FR languages In the StockInfo sheet EL ID and LANG CODE provides indexes for this table for a given label identifier there may be several available translations Thus the LAB EN and french LANG CODE lis available in eng 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 58 Stocks input 2 The language identifier code must be a valid ISO Language Code These codes are the low er case two letter codes as defined
64. ion is proctected by copyright law ESPON 2013 All rights reserved Please read the terms and conditions of use carfully 1 USE RESTRICTIONS The ESPON 2013 Programme by these terms and conditions of use allows the visitor a non exclusive and non transferable right to access to the ESPON 2013 HyperAtlas The user visitor is responsible for providing all software and equipment needed to access this service User Visitor means the company entity or individual installing or using the ESPON 2013 HyperAtlas Use means storing loading installing executing or displaying the ESPON 2013 HyperAtlas and or its content The visitor may use the data included in the ESPON 2013 HyperAtlas for non profit purposes only including the production of derivative works for the purpose of illustration for teaching or for another professional or personal use No material may be modified edited or taken out of context whereby its use creates a false or mis leading statement or impression of the content of the ESPON 2013 Programme The user visitor has no right to sell or redistribute the information included in the ESPON 2013 HyperAtlas The source has to be cited as ESPON HyperAtlas 2013 The ESPON 2013 Programme shall have the right to terminate the user s ability to access this service at any time without notice and also reserves the right to discontinue or modify any of the information contained on this service or the service at any time
65. irected to the ESPON HyperCarte Web Application Dataset page The main components of the ESPON HyperAtlas frame are amenu bar the parameters panel threefold boxes Area and Zoning to select the geometric parameters 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 Overview Figure 6 1 ESPON HyperAtlas frame overview ESPON HyperAtlas Mozilla Firefox SI oO x File Edit View History Bookmarks Tools Help v CE http 127 0 0 1 8080 ESPON HyperCarte validLicense v Y gt Goog a E ESPON HyperAtlas Ss y ype ar File View Tools Session Help Area and Zoning Indicator Contexts 9 Study Area European Union 27 w Numerator GDP Euros 2005 Y E Large European Union 27 v 22 400 OK Elementary Zoning NUTS 2 w v Denominator Total population 2005 Y 2 Medium NUTS 0 gt 9 Ratio Ratio Y Small Contiguity gt Area and Zoning Numerator I v Denominator amp Ratio Large deviation a Medium deviation Small deviation EP Synthesis 3 m Synthesis 2 Legend Options Explanation Study Area and Elementary Zoning o 377 754 km Study Area Unstudied A To change the Study Area and lt v gt the Elementary Zoning please select a value in t
66. loyement rate is above average both at European and National levels 32 MTA parameters Figure 7 11 Dual synthesis map red units E National deviation n Im 20 European deviation un E 5 E N HIA A Figure 7 12 shows in blue the territorial units whose unemployement rate is under average both at European and National levels 33 MTA parameters Figure 7 12 Dual synthesis map blue units National desirte ESPEN BUNS HA RATE ESFTHI AHO Database Project 208 A Figure 7 13 shows in yellow the territorial units whose unemployement rate is above average at European level and under at National level 34 MTA parameters Figure 7 13 Dual synthesis map yellow units ip National deviation ab 100 200 T NH 2 A European deviation v MESS ian cum E LEM TUTTI inns pep s a e den Vrbem xu ET EH CD 4 a as p x ar E E a a rue sors LL Figure 7 14 shows the final typology on the complete synthesis map 35 MTA parameters Figure 7 14 Dual synthesis map final typology HD National deviation on European deviation ESP Tb i ees ar TROU 36 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 maps tabs
67. ly 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 ESPON 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 lies 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 htt
68. m the a priori implementation 25 MTA parameters Figure 7 1 Study area fields Area and Zoning Study Area European Union 15 Elementary Zoning Nuts_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 ESPON 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 26 MTA parameters Figure 7 3 Indicators box Indicator Numerator Population in Thousands 2003 Denominator area in km2 2003 gt This box provides three select boxes to choose indicators The user selected the Density item in the Ratio select b
69. 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 Please note this version when reporting an eventual bug as described in Annex when things go wrong 24 Chapter 7 MTA parameters This section focuses on how to set the parameters for a Multiscalar Territorial Analysis MTA 74 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 ESPON 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 o
70. 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 time 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 ESPON 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 28 MTA parameters 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
71. must be a spreadsheet xls file editable by Microsoft Excel and Open Office named data x1s the filename must include the dat a characters sequence and the xls extension is required the values of stocks must be provided for the lowest level of territorial units This list is available in the example data template that depends on the selected structure geometry mod el at previous step For your information the list of units names is given in the appendix Annex templates units names 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 file 12 1 1 About Table 12 1 provides an example for this mandatory sheet in the data v2 input xls file Table 12 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 _ possible ENABLED column is a boolean only TRUE or FALSE values are 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 12 1 2 Data Table 12 2 provides an example for this mandatory sheet in the data v2 inpu
72. n be an available study area or a any 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 Lander 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 e NUTS 4 and NUTS 5 are now deprecated levels that are re spectively replaced by LAU 1 and LAU 2
73. nsiders indicators that have no sense out of this compute EJ 61 Chapter 13 ESPON HyperAdmin build 4 Visualize in SI 43 HyperAtlas d il ll ys SPON HyperAtlas B 1 Select 2 Provide a structure your stocks template El N 5 3 LI Stocks 3 3 Generate the dataset Once the user has submitted a well formed spreadhseet file including his her stocks for the chosen geometry at step 1 he she is redirected to the Build page see Figure 13 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 13 1 Dataset information form Lidu 2 al Igpliration 2 Manila Me Be DR Yew Fybry Dmie eh Help ee mori et Py para cl alar ih ue ESP BIN EXPCH pelari Web Application gt e Taur in put dan Fie im aem foe Peo Fl de Pong Erm be kee Bee da rini ymor fie er Fren mane FT Deseripnar Ex he ee UG ELMO FAI onne Links Sin Map Lopai Kalbe VURZ2PELAN iE Dred oy me PH YOUR FUTURF su i I The stock data file is well formed Enter a name and a description for the dataset Depending on the wideness of the dataset number of stocks geometries zonings etc this step may take a while While building the dataset a progr
74. oom 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 Parameters menu item makes the parameters panel visible or note 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 Ctri S hift l Zoom Out Ctrl Shitt O i Map Only Mode F11 al 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 Overview Figure 6 5 Displayed cities Cities are represented as black squares The name of the city appears when the mouse moves over a square 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
75. ox Numerator is set to Population in 2003 Denominator is set to Area in km Ratio depending on the chosen dataset the hyp file selecting a ratio 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 11 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 thes
76. p www ums riate com uma Y RIATEs adi CNRS UMR 8504 G ographie Cit s UMR 8504 http www parisgeo cnrs fr Va tl LIG MESCAL UMR 5217 http M E 5 CA L mescal imag fr LIG STeamer UMR 5217 http LSA steamer imag fr For more information please visit HyperCarte Research Group Web site on http hypercarte imag fr Vili Chapter 1 Overview As an introduction this chapter proposes an overview of a typical ESPON HyperAtlas v2 session describing possible paths of investigation Users of the ESPON HyperAtlas v1 may remember the typical path of investigation they were sup posed to follow the seven following steps 1 2 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 inequalities 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 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 ESPON HyperAtlas Example 1
77. pose 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 button Figure 6 8 shows the information message that is displayed when the creation is successfull The benelux 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 21 Overview 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 benelux C AUSTRIA r BELGIUM BULGARIA CYPRUS CZECH REPUBLIC C DENMARK ESTONIA MJ FINLAND _ FRANCE H GERMANY INCLUDING EX GDR FROM 1991 E GREECE HUNGARY ICELAND O IRELAND O ITALY DJ LATVIA C LIECHTENSTEIN LITHUANIA LUXEMBOURG GRAND DUCH UI 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 a 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 22 Overview Figure 6 9 Map of the new study area Ale Workspace view Tools Desa Help Parameters of hyperacemn inputjancialEce vzjanciaten hyp
78. ructure geometry ESPON HyperAdmin input Note that all available templates are not listed on this screenshot see below Find below a description of each available template 5 ESPON HyperAdmin templates euromed this template considers the WUTS at ranks 3 4 5 countries delineations on the EU ROMED area as shown on Figure 11 3 Figure 11 3 EUROMED study area geometry template overview Study Area and Elementary Zoning H D EETI L5B3 kn Py hd zoom ESP N Delineation of the EUROMED geometry template at WUTS 5 eu27nuts2 this template considers 27 European states the delineation is based on the NUTS 2006 revision at NUTS 2 lowest mesh level The Figure 11 4 provides a screenshot of the maximal available study area 52 ESPON HyperAdmin templates Figure 11 4 EU 27 NUTS 2 study area geometry template overview Study Area and Elementary Zoning o 405 Bl1 km lt x i we Se DOR ESPN SEND _ Delineation of the EU 27 NUTS 2 geometry template e eu27nuts3 similar to previous template but the lowest mesh level considers NUTS 3 The Fig ure 11 5 provides a screenshot of the maximal available study area 53 a ESPON HyperAdmin templates Figure 11 5 EU 27 NUTS 3 study area geometry template overview Study Area and Elementary Zoning 2001 4 Delineation of the EU 27 NUTS 3 geometry template eu3lnuts2 this template considers the typical
79. s that are defined in the StockInfo sheet see Section 12 1 8 The values in the VALIDITY START column will only be considered if the value of the TIME ENABLED column in the About sheet is TRUE see Section 12 1 1 Then one relevant ratio can be chosen in HyperAtlas for different dates Identically for the values in the VALIDITY END column Though VALIDITY START and VALIDITY END columns are designed to handle time in tervals setting the same value in both columns makes the ratio associated to a timestamp 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 12 1 8 Stocklnfo Table 12 8 provides an example for this mandatory sheet in the data v2 input xls file Table 12 8 V2 sample StockInfo sheet STOCK ID LABEL ID MEASURE UN KLIDITY S j XREIDITY 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 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
80. 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 44 ESPON HyperAtlas Expert Mode Figure 9 3 Equi repartition map CIPSA hyp Perle Hailie Fila Da me Ho Dono Eom i v B D i nmo1b51A 4 peri ilic uran We a ESPORI Piper Fie mm Toe Ewin Sine ard Isi isi alr Carati Word sep Es a Hee F CRISI T S kirma DNA Im Mooney Daring rir 2 el menna Thie pipine Imm dare m Fare fom T Saul Songy ee ATA B ipa wa lary nye PE a ere ao B Large deamii Lag rami tice a Lala TANEET acc rapier ea PD orl miri fab aoe En me amp gt ant lI g mL g Juss a Meida Brad dei AS n man eee Ls nb ae KTaM ree es ee RWYN UL ii taa imi ee UTE dad bua ns ja Di
81. t of names for all units at lowest level of the zoning hierarchy B 1 EU 31 NUTS 2 template units NUE DT ATI VATION BU NI EDE Language ID UT NAME D A ERREICH AT13 AT21 WI EN KA ST mrm ETE K AT22 AT31 AT32 OB ER STI EICH SA LZB AT33 AT34 BE10 BE21 BE22 E23 E24 E25 E31 E32 E33 E34 E35 BG31 BG32 B RR R 7 R 7 ERE D n FR ER FR FR ERY ERY D n FR EN y TE VO RI D Dp Dp Dp Dp Dp Dp Dp Dp Dp ROL RARLBI GION RG p ES DE ERPEN LIMBURG B OOST VLAANDEREN VLAAMS BRABANT WEST VLAANDEREN BRABANT WALLON HAINAUT LIEG LUXE NAMUR EROZAPADEN DI E p BOURG B EN Eal EREN TSENTRALEN BG33 BG34 BG41 BG42 CHO1 CH02 CHOS CHOA GHOST CHO6 THO TY CZz01 CZ04 8CA069 erre ME ZOO DE11 DE12 LI RI IZTOCHEN Wy NU N N N R R ER D n FR n FR FR ER EN test 87 OON esi WEB nosy esi ogi DE n DE p pl Hj ny y y R U U U
82. t 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 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 40 Tools Figure 8 4 Spatial zoom slider T3 146 km d Pan right Zoom 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 tomap7 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 list of maps for these parameters
83. t xls file Table 12 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 57 Stocks input 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 numerator stock and one denominator stock The Table 12 2 shows five indicators identifiers pop2000 pop2002 area2000 gdp2000 and gdp2002 These iden tifiers must be described in the StockInfo sheet see Section 12 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 15 input file Then each other cell provides a value for the given indicator column at the given unit row For example in Table 12 2 17 is the value for pop2002 indicator in AT113 territorial unit Each cell must be valuated Missing values are not accepted here 12 1 3 Default Table 12 3 provides an example for this optional sheet in the data v2 input xls file Table 12 3 V2 sample Default sheet DEFAULT_NUM pop DEFAULT_DEN 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
84. takes the value 1 for regions be longing to the 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 76 General deviation Spatial deviation Territorial deviation NUTS Nomenclature of terri torial units for statistics Report Stock Study Area Ratio Annex glossary Deviation when the context of reference is the general area The reference ca
85. uestions http developer apple com java faq 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 ESPON 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 ESPON HyperAtlas 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 ESPON HyperAtlas startup Figure 4 1 Security Warning Warning Security The application s digital signature cannot be verified Do you want to run the application Name HyperAtlasApplet Publisher MOT VERIFIED Benoit Le Rubrus From file sf 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 Sec
86. urity x More Information x A This application will be run without the security restrictions normally provided by Java p The digital signature was generated with an untrusted certificate Certificate Details Giese Laun conce The digital signature cannot ba verified by a trusted source Only run if you trust the origin of the application Ess Inem ban The user has clicked the More information link on the bottom of the window Figure 4 1 ESPON HyperAtlas startup Figure 4 3 Security Warning Certificate Details Details Certificate gt gt Serial Number Sogneture Algorithm HA WI EA SLE CMC MRS O CHAS CFR 3 Far Wed Jan 21 10 09 52 CET 200 Subject CH CMRS2 Standard G CNRS CSPE Donc E5 ESITEBZC 27 F5 17 MDS Fingerprint rl Fingerpont L B 0560 O3 34 58 6C 55 6E EZ 1 The user has clicked the Certificate details link on the bottom of the window Figure 4 3 Once the user has clicked the Run button on the security warning popup window the ESPON Hyper Atlas applet begins to load a dataset Depending on the speed of this loading a splash screen icon may appear a few seconds ES PEN HyperAtlas v2 Powered bs by HyperCarte Research Group 15 Chapter 5 ESPON HyperAtlas input dataset The datasets provided by geographers are serialized in a convenient format for ESPON HyperAtlas to a binary file named with the hyp extension example Europe_2007 hyp
87. vited to select in an options tab the contexts of deviations to be considered for both axis among the general the territorial 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 31 MTA parameters Figure 7 10 Legend of the dual synthesis map dear Ino y 1 5 in fo luu 125 154 Jewin ai E 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 unemp

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