RoME 1.3.1 User Manual - 2015
Contents
1. MEDITS 2013 is taken as reference to check the correctness of species code and category e check _weight the check of the consistency of total weight and total number in TB is performed after computing the mean weight for each species in each haul a list of the weight intervals is provided in Tables directory Species _LEN_WEIGHT csv this list was filled in on the basis of the data collected in GSA 10 and 18 from 1994 to 2014 Of course the user should This check gives a graphical output that has to be checked by the user Graphs are automatically saved in RoME Graphs directory This check gives only a warning message The check procedure is not stopped 7 update and complete as much as possible the table in order to allow RoME to detect errors on the basis of the updated weight intervals This check is divided in a quantitative control using the ranges mentioned above and a qualitative control using plots of the mean weight The function gives a warning message A maximum of 20 graphs will have been displayed in the R console and a maximum of 20 tif files 6 plots per file will have been stored in Graphs directory The species with at least an occurrence of 10 hauls are plotted and saved check_weight_tot_nb in this check ROME verifies for the format after_2012 if for the records with total weight not null there is a total number not null except for categories V G H D and E as reported in MEDITS manual a2. is a qualitative control scatter plots stored automatically in Graphs directory allowing to detect the occurrence of outliers e check_bridles_length if bridles length equals 150 m for hauls with mean depth gt 500m RoME gives only a warning message and does not stop according to instruction in the MEDITS manual e check_stratum the function gives also a warning message because sometimes it could be possible that a haul starts in a stratum but ends in another e check_quadrant the function gives a warning In RoME gt 1 3 two additional checks on TA table new format see INSTRUCTION MANUAL VERSION 7 MEDITS 2013 have been implemented in order to perform a control also on temperature and stratum code CHECK Function Correctness of stratum code check_stratum_code r CHECK Function Consistency depth versus temperature check_temperature r e check _stratum_code r this function checks if the stratum code associated to each haul is consistent with the code reported in MEDITS manual and in the table Stratification scheme ATTENTION this check is applied to TA if the format after_2012 is selected while is applied to TT if this file is provided and stored in RoME working directory if the format before 2012 is selected e check_temperature r this function checks if the temperature by haul is in the range 10 30 C moreover a plot depth versus temperature is produced and stored in
3. mature individuals caught outside the spawning are detected moreover the mature individuals caught outside the spawning with size smaller than the size of smallest mature individual in bibliography and the immature individuals caught during the reproductive period but with size greater than maximum Lso 15 Lso are detected The last check is performed only for proteroginic and proterandrous target species the user will be only informed if information about sex inversion size for hermaphrodite species at the moment only for Pagellus spp and Spicara spp is present in Maturity parameters csv folder Tables in order to be used by the user to check the sex data of these species Maturity_parameters csv should be as much as possible shared and complete As for TB in RoME gt 1 3 the new TM list is used in check_rubincode function for format after_2012 For the format before_2012 the old FM list is used MEDITS handbook 2007 A new check on the field WEIGHT_OF_THE_SAMPLE_MEASURED has been added in order to control the difference between observed and estimated weight of the sample For this check a new table containing the length weight relationship coefficients by species is used This table is stored in Tables folder L W csv and can be modified or updated by the user Moreover another function that checks if for G1 and G2 species the length measurements have been collected has been created Finally the check of faunis
4. RoME version 1 3 R code to perform multiple checks on MEDITS Survey data TA TB TC TD TT and TE files Authors Isabella Bitetto Maria Teresa Facchini Maria Teresa Spedicato Coispa Tecnologia amp Ricerca Stazione sperimentale per lo Studio delle Risorse del Mare If you have any comments or suggestions please contact the following e mail address bitetto coispa it COISPA Tecnologia amp Ricerca Stazione Sperimentale per lo Studio delle Risorse del Mare Index MOP J RCO V OS vecsacs cute ce cwececdevcacceivedccsessecuccunscnanees Re 3 2 Functions contained in ROME cccccccccssssssscccccccccccssssescsccccecccseesesccccccceccscesescscccccscceesseseccccces 3 PV CHECK ON VA TUE E E A AE E E E EEE 4 22 CNeCk On D p A E D E EE A EAEE AE ES 7 PRA SA N OE E E T E idea E ETE 8 P AA A file E E S alicell O E E E EER A 11 285 Check onl DTP EE a EL a seca ieee 11 2 6 Cross checkSt oca lio Aeon iaia 12 2 5 Cr ation OF R Sufi fileS siiota leale 13 3 Order OF the CHECKS sicsscccssiccscscsccocosescccccostscscsssscccvossscsossoscccosessscouccsecccussssctsvcesscccucesseceusesecccuousecton 13 4 HUMCtlOM ROME cccscreccecccccte ck sosca taso aenea carcenatecacenaeccueenascoacepel eotoevesciaceste coubeceseoatendl eovoes 14 5 Instructions for the USC ciccciiccscesessscessecccsesceuscotssccacs coteesesteveusussevssnbetatessveiavssestevevsubtuvscabstivnrstate 14 1 Objectives In order to unify the checks that are ma
5. a r this check has as output a table automatically saved in ROME directory named sampling_individual_measures csv where for each species are stored the number of length measurements individual weights and number of otoliths taken by length class This table is useful to the user to evaluate the coverage of the individual measurements collections in order to verify if the sampling is in line with the protocol and to understand how eventually improve the sampling procedure 2 5 Creation of R Sufi files Four of the 51 functions of RoME create the files to run R Sufi traits csv based on TA captures csv based on TB taille csv based in TC for the format before 2012 and based on TE for the format after 2012 and strates csv created automatically from Stratification scheme table Another function creates the global 4 files from an year to another year For the file taille the change in maturity scale in 2006 has been taken into account from 1994 to 2005 the males of crustaceans have stage NA because they were not staged until 2005 From 2006 they are considered mature for the stages strictly greater than 2A as well as for females of crustaceans Before 2006 the females of crustaceans are considered mature for stages strictly greater than 1 Bony fish and cephalopods are considered mature from stage 3 until 2005 and then they are considered mature from stage 2B For selachians the immature are always stage and 2 When the chec
6. d be not greater than 20 Start depth and end depth of each check_stratum haul should be in the same stratum The start and end coordinates of check_position_in_ Med each haul must be in the Mediterranean Sea Among hauls with the same code check_unique_valid_haul only one must be valid The shooting quadrant and the check_quadrant hauling quadrant should be the same Check consistency between graphs_TA shooting depth and warp opening and between warp length and wing opening There must not be duplicated check identical records records There must not be quasi identical check_quasiidentical_records records Some details about check functions are listed below e check_dm the interval used for wing and vertical opening expressed in dm are respectively 50 250 and 10 99 e check_consistencyTA_distance the consistency between distance and duration of the haul is evaluated considering the fact that in a 30 minutes haul the vessel covers a distance of about 1852 mx1 5 nm nautical miles and in a 60 minutes haul about 1852 mx3 nm then in This check gives a graphical output that has to be checked by the user Graphs are automatically saved in RoME Graphs directory This check gives only a warning message The check procedure is not stopped 5 general a distance of 1852 mxhaul duration 20 is covered moreover a tolerance of 15 is applied A warning message instead of an erro
7. dditional check has been introduced only for the format after_2012 CHECK Function Check of consistency in number per sex check_nm_TB set not mandatory in TB check_nm_TB for the species G1 are not allowed that the fields related to total number number of females number of males and number of undetermined are simultaneously null according to MEDITS manual version 7 of 2013 2 3 Check on TC file The checks specific for TC already present in ROME 1 2 are summarized in the table below CHECK Function Correctness of check_length_class_codeTC LENGTH_CLASSES_CODE Consistency of LENGTH_CLASS check_length Consistency between sum of NB_LON check_nb_per_sexTC and NB_SEX Consistency of maturity stages according check_mat_stages to the faunistic category sex and species Correctness only of species MEDITS check_rubincode code Check of the dictionary of specific fields check_dictionary All the fields must be not empty check_no_empty_fields different from NA Fishes and cephalopods length classes check_step_length_distr must have full or half step in case of LENGTH_CLASSES_CODE 1 only full All the measures must be integer numbers Check consistency of size of mature check_smallest_mature individuals compared with the size of smallest mature individual reported in bibliography Check consistency of maturity stages check_spawning_period using information ab
8. de independently over the MEDITS data by the 18 GSAs Geographical Sub Area participating to MEDITS Survey an R code performing all the main checks on exchange MEDITS data tables was developed The first version of RoME has been presented for the first time in the MEDITS Coordination meeting held in Nantes March 2011 The use of RoME by experts belonging to different GSAs participating to MEDITS Programme brought to the implementation of several adjustments of the R code In the version 1 3 RoME has been transformed in a package structured in 54 different functions the run is performed by means of the function ROME Each function is related to a specific check and is recalled in a specific order to avoid cascade errors The software does not correct the data but it detects the errors warning the user that there is the possibility of one or more errors specifying the type of the error and easing the data correction In this version the user can check files only in csv format separator The check is performed simultaneously on the files that can contain also data of more than one year For this reason the files should be stored together in the same folder RoME 1 3 1 works with R versions gt 3 0 3 2 Functions contained in ROME In RoME package are contained the functions related to the single checks for a total number of 51 functions 4 facility functions associated with a specific check in TA TB TC TD TT a
9. efore_2012 e check _temperature r this check is applied to TA if the format after_2012 while is applied to TD for the format before_2012 2 6 Cross checks The cross check among TA TB and TC already present in ROME 1 2 are listed below CHECK Function All the hauls in TA must be in TB check_hauls_TATB All the hauls in TB must be in TA check_hauls_TBTA All the target species in TB must be in check_species_TBTC TC All the species in TC must be listed in check_haul_species_TCTB TB All the hauls in TC are in TB check_haul_species_TCTB In case of sub sampling in TC the Total check_raising number and the number per sex in TB must be raised correctly TA TB and TC must have the same year check_area_year and area e check_species_TBTC function gives a warning message in fact in the case the user does not have the biological data for target species the routine has not to stop the process of check because the user cannot correct this kind of missing data e check_raising function takes into account also the possibility of a differentiated sampling according to INSTRUCTION MANUAL VERSION 5 MEDITS 2007 p 38 Extracted from INSTRUCTION MANUAL The word Fraction means any sub group of individual from the total catch of a species males females large sized individuals small individuals juveniles etc on which it could be proceed to a sub sample For examp
10. egarding more than one year could be checked by RoME version 1 3 1 4 During the check procedure a message with the outcome of each check will be displayed if the procedure will stop you have to open the Logfile saved in the folder Logfiles and named with date and time correct the errors indicated and run again the code 5 Even if all the checks will be completed the Logfile will contain the outcome of the checks positive in this case and the warnings that should be read as well 6 At the end of the check procedure you will find in the Graphs directory all the graphical outputs produced 7 After the check of a single year if the user answered Y when asked R Sufi files will be created and stored in files R Sufi directory for that year of data After the check and a number of years if the user answered Y in the console indicating Year_start and Year_end the global files for R Sufi routine will be created and stored in files R Sufi directory 2 see template formats before and after 2012 files in the ROME templates directory For the maturity stages the numeric part has to be put in MATURITY and the alphabetic part in MATSUB field 15
11. ence is greater than 20 a warning is given in Logfile dat and a table named TE_with_estimated_weights csv is automatically produced in order to allow the user to easily eventually detect the errors For all the records the percentage difference between observed and estimated weight is reported ATTENTION In order to allow RoME to perform the check the user has to enter length weight relationship coefficients for the area Moreover this function checks if for G1 species has been collected the weight or if has been entered the value ND that is not allowed e check_nb_ TE this function verify the consistency of the check fields o NO _PER_SEX_MEASURED_IN_SUB_SAMPLE_FOR_OTOLITH o NO_PER SEX _MEASURED_IN_SUB_SAMPLE_FOR_WEIGHT o NO_PER_SEX_MEASURED_IN_ SUBSAMPLE _FOR_AGEING These fields are compared to the number of records present in TE by sex length class and haul 2 5 Check on TD TT files For the format before 2012 the same checks introduced in TA new format on temperature and stratum code has been implemented referring to TT MEDITS table containing stratum code for each haul and TD table containing temperature data for each haul files CHECK Function Correctness of stratum code TT check_stratum_code r Consistency depth versus temperature TD check_temperature r 11 e check_stratum_code r this check is applied to TA if the format after_2012 while is applied to TT for the format b
12. ients for the area e check_G1_G2 r this check uses a new support table in Tables folder containing the list of MEDITS G1 and G2 species and verify if the length has been collected for the selected species for each haul If the length is lacking for any species in any haul a warning message is given in the logfile This check gives only a warning message The check procedure is not stopped 10 2 4 Check on TE file From 2012 TE table has been introduced in the exchange formats of MEDITS data containing the individual data For this table specific checks have been foreseen CHECK Function Correctness of species MEDITS code and check_rubincode faunistic category according to reference list in Tables directory Consistency of individual weights check_individual_weightTE r according to length weight relationship All the fields except the last three must check_no_empty_fields r be not empty different from NA Consistency of number of individuals check_nb_TE sampled for weight and ageing in TE Consistency of maturity stages according check_mat_stages to the faunistic category sex and species e check _individual_weightTE r for each individual is calculated the estimated weight according to length weight relationship coefficient stored in L W csv Tables folder and the difference between observed and estimated individual weight in percentage If for at least one record this differ
13. k procedure is completed for a number of years it is possible to obtain the R Sufi files from Year_start to Year_end 3 Order of the checks All the checks listed above have to be performed following a specific sequence in order to avoid cascade errors Sequence of the function calls 1 Check duplicated records on TA TB and TC 2 Check quasi identical records on TA TB and TC 3 Check AREA and YEAR fields are the same for all the 3 files 4 Check dictionary on TA TB TC TD TT and TE 5 Specific checks on TA 6 7 8 9 1 Specific checks on TB Specific checks on TC Specific checks on TD Specific checks on TT 0 Specific checks on TE 13 11 Cross checks This software manages the function calls according to the outcome of the check if the check is successfully completed the next function is called otherwise the procedure stops in order to allow the user to correct the files After correction the user has to run RoME from the beginning In this way the procedure avoids the introduction by the user of errors not found in the previous launch i e after correcting an error in the step 2 of the above sequence the user could have introduced an identical record For each check ROME displays the outcome on the R console and prints it in a log file Logfile dat in ROME directory adding the details of the check 4 Function ROME ROME is the function that the user has to call from R c
14. le total weight 1000 g which is divided into 100g of big individuals and 900 g of small The big individuals will be entirely measured PFRAC 100 PECHAN 100 The small ones will be sub sampled with a ratio of 1 10 PFRAC 900 PECHAN 90 In the check check_raising the comparison between the number in TB and the raised number in TC has been not taking into account decimals but comparing the integer numbers In RoME versions gt 1 3 new cross checks related to the introduction of the new formats have been introduced CHECK Function Check if the individuals by species check_TE_TC r length sex and maturity stage reported in TE are less than the number reported in TC This check gives only a warning message The check procedure is not stopped 12 Check if the date of the haul in TB TC check_date_haul r and TE is consistent with TA Summary of the individual data collected scheme_individual_data r by species e check _date _haul r a check on the correctness of the association on the basis of TA between haul and date has been added for the format after_2012 because in the new format of TB DAY and MONTH fields have been added e check_area_year r this check has been extended also to TT TD for the format before_2012 and TE for the the format after_2012 Moreover the check_area_year function has been applied to TE TT and TD tables e scheme_individual_dat
15. nd TE tables All the checks have been designed according to INSTRUCTION MANUAL VERSION 5 MEDITS 2007 specifications for the old MEDITS formats and according to INSTRUCTION MANUAL VERSION 7 MEDITS 2013 for the new MEDITS formats The list of the functions is reported below check_identical_records check_quasiidentical_records check_consistencyTA_duration check_consistencyTA_distance check_hauls_TATB check_hauls_TBTA check_rubincode check_species_TBTC check_haul_species_TCTB check_raising check_length check_weight check_mat_stages LO OANDOBPWNE OOANIANDUABWNEFO s check_nbtotTB check_length_class_codeTC check_nb_per_sexTC check_distance check_position check_dictionary 20 check_bridles_length 21 graphs_TA 22 check_position_in_Med 23 check_area_year 24 check_depth 25 check_stratum 26 ch 27 ch 28 ch 29 ch 30 lt ch 31x Ch 32 ch Id h 34 ch 354 Ch 36 Ch Sta Ch 38 ch 39 Ch 40 ch 41 ch 42 ch 43 ch 44 ch 45 46 ch eck_quadrant eck_step_length_distr eck_unique_valid_haul eck_weight_tot_nb eck_spawning_period eck_sex_inversion eck_smallest_mature eck_no_empty_fields eck_dm eck_0_fieldsTA eck_temperature eck_stratum_code eck_date_haul eck_TE_TC eck_individual_weightTE eck_individual_weightTC eck_nm_TB eck_nb_TE eck_G1_G2 scheme_individual_data eck_subsampling F
16. ns and rows If the operation above will not be done you could have some problems in the reading of the files 14 3 The names of the fields in TA TB TC TD TT and TE files have to be in English Specifically the fields requested to run RoME are in the template formats contained in RoME folder ATTENTION If you are creating csv format with Microsoft Excel or similar software pay attention to the precision of numbers In fact i e if I save the number 1 234567 but in Excel it is displayed as 1 2345 when I create the csv file the number saved actually will be 1 2345 Then be careful that all the digits are displayed before creating the csv file ATTENTION TA TB and TC tables names are mandatory in both formats The user can decide to check also TD and or TT selecting before_2012 as well as decide to check TA TB and TC files in format after_2012 without checking TE If the user decide to create R sufi files he she has to answer Y in the console indicate the GSA and the year when asked If the user decide to create global R sufi files from one year to another one he she has to answer Y in the console indicate the start and the end year when asked In this second case before answering Y check that all the RSufi files for all the years checked are stored in files R Sufi directory ATTENTION TA TB TC TD TT and TE files have to be closed during the running Even TA TB TC TD TT and TE files r
17. onsole to start the checks Afer the run ROME will ask to set one by one e the name of the files to be checked all the file names TA TB TC TT TD and TE without extension must be set In the csv files the separator must be e if the data are in the old or new Medits format e create_RSufi_files and AREA variables if not set the R Sufi files will not be created for a specified year e create_global_RSufi_files Year_start and Year_end variables for a set of years 5 Instructions for the user The steps for running ROME gt 1 3 are e Open R console and set the working directory File gt Change dir e Load the packages distributed with RoME e Install RoME zip package Packages gt Install packages from local zip files e Type require ROME Type in the console ROME automatically the folder Tables containing the tables used in the checks will be created Tables directory contains TM list csv updated to 2014 FM list_old csv MATURITY_STAGES csv MATURITY_STAGES_from_2012 csv Species _LEN_WEIGHT csv Stratification Scheme csv Maturity_parameters csv L W csv o MEDITS_GI_G2 csv Also Graphs directory where the graphical outputs are stored will be created Logfiles directory where logfiles will be saved will be also created 0000000 0 p RoME gt 1 3 has been tested on R version 3 0 3 for 32X in Windows and Unix 2 Eliminate from TA TB TC TD TT and TE files the empty colum
18. out spawning period This check gives only a warning message The check procedure is not stopped 8 CHECK Function Lso and size of smallest mature individual collected from literature The user will be informed if information check_sex_inversion about sex inversion size for hermaphrodite species at the moment only for Pagellus spp and Spicara spp is stored in Maturity parameters There must not be duplicated records check_identical_records There must not be quasi identical records check_quasiidentical_records check_length For the check of the lengths intervals based on the data collected in GSA 10 and 18 from 1994 to 2014 were used The ranges mentioned above can be changed directly changing the values in Species_LEN_WEIGHT csv table check_mat_stages for the format before_2012 the check on maturity stages is done on the species listed in the table Species_LEN_WEIGHT csv Tables directory with faunistic category field not empty As the check is done not for all species if the user wants to check the maturity stages for one or more species with empty faunistc category field he needs to fill in the field and the check will be done for that species as well The faunistic category codes are the same of those contained in the old FM list except for the selachians that are classified with the S code and not with A fish code While for the format after_2012 the check on ma
19. r message is given in the checks involving a certain tolerance e check distance the comparison between distance in TA and computed distance is performed with a tolerance of 30 The formula used to compute the distance from the start and end coordinates is d 60 2 lat ong ez lat rart a 1852 cos N where N arctani T long ena ION start 180 In tan V In tan W and ae as A N 180 Sot 45 Mez 180 All the coordinates involved in the formulas above are in decimal degrees the routine converts automatically the coordinates listed in TA For the hauls with a computed distance quite different from the distance recorded in TA a plot is produced and stored in Graphs directory to allow an easier correction e check position the check on the correctness of hauls position is a qualitative check made by means of 3 graphs the first one contains the start and end position of the hauls the second plot contains only the start points with the hauls code labels and the third one in a similar way the end points with the respective labels e check_quasiidentical_records two or more quasi identical records occurred when all the fields are respectively equal except TYPE _ OF FILE AREA GEAR VESSEL YEAR RIGGING DOORS for TA table TYPE _ OF FILE AREA VESSEL YEAR for TB and TC tables e graphs_TA the consistency between shooting depth and warp length and between warp length and wing opening
20. the Graph folder ATTENTION this check is applied to TA if the format after_2012 is selected while is applied to TD if the format before 2012 is selected 2 2 Check on TB file The checks specific for TB already present in ROME 1 2 are summarized in the table below CHECK Function Correctness of species MEDITS code and check_rubincode faunistic category according to reference list in Tables directory NB_TOT NB_F NB_M NB_U check_nbtot TB The total weight and total number in the check_weight haul have to be consistent If total weight is different from 0 total check_weight_tot_nb number must be different from 0 only if the category of the species is different from E and vice versa for all faunistic categories Check of the dictionary of specific fields check_dictionary All the fields must be not empty check_no_empty_fields There must not be duplicated records check 2dentcal records There must not be quasi identical records check_quasiidentical_records Some details about check functions are listed below e check_rubincode in case the format before_2012 has been selected for the check on species MEDITS code was used the FM list corresponding to Annexe XV INSTRUCTION MANUAL VERSION 5 MEDITS 2007 contained in Tables directory and names FM list_old in case the selected format was after_2012 the TM list contained in the INSTRUCTION MANUAL VERSION 7
21. tic category also in TC has been introduced for the format after_2012 as well a check in case the sub sample the WEIGHT_OF_THE_SAMPLE MEASURED is smaller than the 10 of the total weight in the haul WEIGHT_OF_THE_FRACTION giving only a warning message CHECK Function Correctness also of faunistic category check_rubincode according to reference list in Tables directory Check of observed estimated total weight check_individual_weightTC r in the haul Check if for G1 and G2 species the check_G1_G2 r length measurements are present in TC Check if the sub sample check_subsampling r is smaller than the 10 of the total weight in the haul e check_individual_weightTC r The warning is given when difference between the sum of estimated individual weights by haul species and sub samples and the WEIGHT_OF_THE_SAMPLE_MEASURED is greater than 50 for at least one record The file Comparison_estimated_observed_weight_in_TC csv is automatically saved in the working directory in order to easily detect the samples with this differences in total weight For all the records the percentage difference between observed and estimated weight is reported This check is based on the table L W csv contained in Tables folder where the length weight relationship coefficients are reported by species area and sex ATTENTION In order to allow RoME to perform this check the user has to enter length weight relationship coeffic
22. turity stage is performed for all the species of the new TM list where selachians and bony fish are distinguished This function also gives a warning message because it is difficult to define for all GSAs the year of passing from the old MEDITS maturity scale to the current MEDITS scale However 2007 was chosen as a reference year in order to give the warning message to the user Up to 2006 no warning message is reported if the old maturity scale is used in TC files Moreover if the year is 2012 or after 2012 the new maturity scales is used as reference see INSTRUCTION MANUAL VERSION 7 MEDITS 2013 The user can verify the maturity scales used by ROME in the file MATURITY_STAGES_from_2012 csv and MATURITY_STAGES csv contained in Tables folder check_nb_per_sexTC If the field number per sex is found completely empty the routine will stop and will produce automatically a csv file TC_file_with_computed_nb_per_sex csv with the nb per sex column filled in The user will have to copy and paste the column in the original file and run again the code check_smallest_mature check_spawning_period and check_sex_inversion in these checks are involved the information stored in Maturity_parameters csv table Lso spawning period and sex inversion size for hermaphrodite species For the first one mature individuals with length smaller than size of the smallest mature individuals reported in literature are detected In the second check the
23. unctions for R sufi file creation create_strata create_length create_haul create_catch RSufi_files 2 1 Check on TA file The checks specific for TA already present in ROME 1 2 are summarized in the table below CHECK Function The WING_OPENING and VERTICAL_OPENING fields have to be expressed in dm check_dm WING_OPENING WARP_DIAMETER and VERTICAL_OPENING fields have to be not equal to 0 check_0 fieldsTA The DURATION SHOOTING_TIME and HAULING_TIME fields have to be consistent check_consistencyTA_duration The DURATION and DISTANCE fields have to be consistent check_consistencyTA distance If vertical opening and warp diameter fields equal 0 only a warning message is given because these values are not necessary for the calculation of swept area CHECK Function The distance has to be consistent check_distance with the coordinates at the start and at the end of the haul The hauls have to be on reasonable check_position positions Check of the dictionary of specific check_dictionary fields e g validity can be only V or D All the fields except to check_no_empty_fields HYDROLOGICAL STATION and OBSERVATIONS must be not empty for valid hauls The field BRIDLES_LENGTH can check_bridles_length assume value 100 between 10 200 m of depth or 150 between 200 800 m The difference between start depth check_depth and end depth shoul
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