20210705
17084000
1.0
FALSE
CreateFeatureclass D:\APDRN\Webmap\BivariateMapping\BivariateMapping.gdb TransverseHex100x100 Polygon # No No "PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]];-20037700 -30241100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # 0 0 0 #
AddField D:\APDRN\Webmap\BivariateMapping\BivariateMapping.gdb\TransverseHex100x100 GRID_ID Text # # 12 # NULLABLE NON_REQUIRED #
GenerateTessellation D:\APDRN\Webmap\BivariateMapping\BivariateMapping.gdb\TransverseHex100x100 "-2191965.4028 -7499561.9277 26108034.5972 14700438.0723" "Transverse hexagon" "10000 SquareKilometers" "PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]];-20037700 -30241100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision"
JoinField TransverseHex100x100km GRID_ID Zonal_HexPOP GRID_ID SUM
JoinField TransverseHex100x100km GRID_ID Zonal_HexDrought GRID_ID MEAN
AlterField TransverseHex100x100km SUM Population Population "Double (double precision)" 8 NULLABLE DO_NOT_CLEAR
AlterField TransverseHex100x100km MEAN Drought Drought "Double (double precision)" 8 NULLABLE DO_NOT_CLEAR
JoinField "TransverseHex\TransverseHex100x100km - 2x2" GRID_ID Zonal_HXRCP85_20_39 GRID_ID MEAN
AlterField "TransverseHex\TransverseHex100x100km - 2x2" MEAN RCP85_20_39 RCP85_20_39 "Double (double precision)" 8 NULLABLE DO_NOT_CLEAR
DeleteField "TransverseHex\TransverseHex100x100km - 3x3" RCP85_20_39
AddIndex "TransverseHex\TransverseHex100x100km - 3x3" GRID_ID GRID_ID UNIQUE NON_ASCENDING
JoinField "TransverseHex\TransverseHex100x100km - 3x3" GRID_ID Zonal_SIP6_2019_Normalised GRID_ID SIP6_2019_Normalised
JoinField "TransverseHex\TransverseHex100x100km - 3x3" GRID_ID Zonal_DALY_Drought_Normalised GRID_ID DALY_Drought_Normalised
AddField "TransverseHex\TransverseHex100x100km - 3x3" DALY_SPI62019_Drought "Double (double precision)" # # # "DALY x SPI62019" NULLABLE NON_REQUIRED #
CalculateField "TransverseHex\TransverseHex100x100km - 3x3" DALY_SPI62019_Drought !SIP6_2019_Normalised!*!DALY_Drought_Normalised! "Python 3" # Text NO_ENFORCE_DOMAINS
JoinField "TransverseHex100x100km - 3x3" GRID_ID Zonal_HexSHDI GRID_ID SHDI
AddField "TransverseHex100x100km - 3x3" SPI6_DALY_SHDI "Double (double precision)" # # # "SPI6 x DALY * SHDI" NULLABLE NON_REQUIRED #
CalculateField "TransverseHex100x100km - 3x3" SPI6_DALY_SHDI !SIP6_2019_Normalised!*!DALY_Drought_Normalised!*!SHDI! "Python 3" # Text NO_ENFORCE_DOMAINS
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.8.0'><WorkspaceConnectionString>DATABASE=D:\APDRN\Webmap\BivariateMapping\BivariateMapping.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>TransverseHex100x100</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>VUL_HZ</field_name><field_type>DOUBLE</field_type><field_alias>(DALY+SHDI)*SPI6</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField "TransverseHex100x100km - 3x3 DALYxSPI6xSHDI" SPI6_DALY_SHDI (!DALY_Drought_Normalised!+!SHDI!)*!SIP6_2019_Normalised! "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField "TransverseHex100x100km - 3x3 DALYxSPI6xSHDI" VUL_HZ (!DALY_Drought_Normalised!+!SHDI!)*!SIP6_2019_Normalised! "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField "TransverseHex100x100km - 3x3 DALYxSPI6 2019" SPI6_DALY_SHDI !SIP6_2019_Normalised!*!DALY_Drought_Normalised!*!SHDI! "Python 3" # Text NO_ENFORCE_DOMAINS
DeleteField "Natural Breaks\TransverseHex100x100km - 3x3 POPxSPI6" Drought
FeatureClassToFeatureClass "TransverseHex100x100km - 3x3 POPxSPI6" D:\APDRN\Webmap\BivariateMapping\TemplateHex100x100km.gdb TransverseHex100x100km # "GRID_ID "GRID_ID" true true false 12 Text 0 0,First,#,TransverseHex100x100km - 3x3 POPxSPI6,GRID_ID,0,12;Population "Population" true true false 8 Double 0 0,First,#,TransverseHex100x100km - 3x3 POPxSPI6,Population,-1,-1" #
AddIndex TransverseHex100x100km GRID_ID GRID_ID UNIQUE NON_ASCENDING
CopyMultiple "G:\000_UNOSAT\004_APDRN_Project\DATASETS\TemplateHex100x100km.gdb\TemplateHex100x100km.gdb\TransverseHex100x100km FeatureClass" G:\000_UNOSAT\004_APDRN_Project\Risk_Hotspot\Hex_Risk_Hotspot\Hex_Risk_Hotspot.gdb TransverseHex100x100km "TransverseHex100x100km FeatureClass TransverseHex100x100km #"
JoinField TransverseHex100x100km GRID_ID Zonal_SDHI_mean GRID_ID SHDI_MEAN
JoinField TransverseHex100x100km GRID_ID Zonal_DALY_drought_mean GRID_ID MEAN
AlterField TransverseHex100x100km MEAN DALY_Drought_Mean DALY "Double (double precision)" 8 NULLABLE DO_NOT_CLEAR
JoinField TransverseHex100x100km GRID_ID Zonal_SPI6_2015_mean GRID_ID MEAN
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.6.0'><WorkspaceConnectionString>DATABASE=G:\000_UNOSAT\004_APDRN_Project\Risk_Hotspot\Hex_Risk_Hotspot\Hex_Risk_Hotspot.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>TransverseHex100x100km</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>MEAN</field_name><new_field_name>SPI6_2015_Mean</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence>
CalculateField TransverseHex100x100km DALYxSPI6_2015 !DALY_Drought_Mean!*!SPI6_2015_Mean! "Python 3" # "Double (double precision)"
DeleteField TransverseHex100x100km DALYxSPI6_2015
AddField TransverseHex100x100km DALYxSPI6_2019 "Double (double precision)" # # # "DALYxSPI6 (2019)" NULLABLE NON_REQUIRED #
CalculateField TransverseHex100x100km DALYxSPI6_2019 !DALY_Drought_Mean!*!SPI6_2015_Mean! "Python 3" # Text
AlterField TransverseHex100x100km DALYxSPI6_2019 DALYxSPI6_2015 "DALYxSPI6 (2015)" "Double (double precision)" 8 NULLABLE DO_NOT_CLEAR
JoinField TransverseHex100x100km GRID_ID Zonal_SPI6_2019_mean GRID_ID MEAN
AlterField TransverseHex100x100km MEAN SPI6_2019_Mean SPI6_2019 "Double (double precision)" 8 NULLABLE DO_NOT_CLEAR
AddField TransverseHex100x100km DALYxSPI6_2019 "Double (double precision)" # # # "DALYxSPI6 (2019)" NULLABLE NON_REQUIRED #
CalculateField TransverseHex100x100km DALYxSPI6_2019 "!DALY_Drought_Mean! * !SPI6_2019_Mean!" "Python 3" # Text
AddField "POP vs (DALY+SHDI) x SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2015)" (DALY+SHDI)xSPI6_2015 "Double (double precision)" # # # "(DALY+SHDI)xSPI6 (2015)" NULLABLE NON_REQUIRED #
DeleteField "POP vs (DALY+SHDI) x SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2015)" F_DALY_SHDI_xSPI6_2015
AddField "POP vs (DALY+SHDI) x SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2015)" DALY+SHDIxSPI6_2015 "Double (double precision)" # # # "(DALY+SHDI)xSPI6 (2015)" NULLABLE NON_REQUIRED #
CalculateField "POP vs (DALY+SHDI) x SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2015)" DALY_SHDIxSPI6_2015 "(!DALY_Drought_Mean! + !SHDI_MEAN!) * !DALYxSPI6_2015!" "Python 3" # Text
AddField "POP vs (DALY+SHDI) x SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2015)" DALY_SHDIxSPI6_2019 "Double (double precision)" # # # "(DALY+SHDI)xSPI6 (2019)" NULLABLE NON_REQUIRED #
CalculateField "POP vs (DALY+SHDI) x SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2015)" DALY_SHDIxSPI6_2019 "(!DALY_Drought_Mean! * !SHDI_MEAN!) * !DALYxSPI6_2019!" "Python 3" # Text
CalculateField "POP vs (DALY+SHDI) x SPI6\TransverseHex100x100km POP vs (DALY+SHDI) x SPI6 (2019)" DALY_SHDIxSPI6_2019 "(!DALY_Drought_Mean! + !SHDI_MEAN!) * !SPI6_2019_Mean!" "Python 3" # Text
DeleteField "POP vs SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2015)" DALY_SHDIxSPI6_2015
DeleteField "POP vs SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2015)" DALY_SHDIxSPI6_2019
AddField "POP vs DALY x SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2019)" DALY_SHDIxSPI6_2019_Mean "Double (double precision)" # # # (DALY+SHDI)xSPI6_2019 NULLABLE NON_REQUIRED #
CalculateField "POP vs SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2015)" DALY_SHDIxSPI6_2019_Mean "(!DALY_Drought_Mean! + !SHDI_MEAN!) * !SPI6_2019_Mean!" "Python 3" # Text
AddField "POP vs (DALY+SHDI) x SPI6\TransverseHex100x100km POP vs (DALY+SHDI) x SPI6 (2019)" DALY_SHDIxSPI6_2015 "Double (double precision)" # # # (DALY+SHDI)xSPI6_2015 NULLABLE NON_REQUIRED #
CalculateField "POP vs SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2015)" DALY_SHDIxSPI6_2015 "(!DALY_Drought_Mean! + !SHDI_MEAN!) *!SPI6_2015_Mean!" "Python 3" # Text
JoinField "POP vs (DALY+SHDI) x SPI6\TransverseHex100x100km POP vs (DALY+SHDI) x SPI6 (2019)" GRID_ID Zonal_DRY45_59 GRID_ID DRY45_59_Mean
JoinField "POP vs Climate Change Projected (2040-2059)\TransverseHex100x100km POP vs RCP 4.5 (2040-2059)" GRID_ID Zonal_DRY4539 GRID_ID DRY45_39_Mean
AddField "POP vs Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs RCP 4.5 (2020-2039)" DALYxRCP4559 "Double (double precision)" # # # "DALYxRCP 45 (2040-2059)" NULLABLE NON_REQUIRED #
AlterField "POP vs Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs RCP 4.5 (2020-2039)" DRY45_59_Mean RCP45_2059_Mean "RCP 45 (2040-2059)" "Double (double precision)" 8 NULLABLE DO_NOT_CLEAR
AlterField "POP vs Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs RCP 4.5 (2020-2039)" DRY45_39_Mean RCP45_2039_Mean "RCP 45 (2040-2039)" "Double (double precision)" 8 NULLABLE DO_NOT_CLEAR
CalculateField "POP vs SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2015)" DALYxRCP4559 "!DALY_Drought_Mean! * !RCP45_2059_Mean!" "Python 3" # Text
AddField "POP vs Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs RCP 4.5 (2020-2039)" DALYxRCP4539 "Double (double precision)" # # # "DALYxRCP 45 (2020-2039)" NULLABLE NON_REQUIRED #
AlterField "POP vs Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs RCP 4.5 (2020-2039)" RCP45_2039_Mean RCP45_2039_Mean "RCP 45 (2020-2039)" "Double (double precision)" 8 NULLABLE DO_NOT_CLEAR
CalculateField "POP vs SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2015)" DALYxRCP4539 "!DALY_Drought_Mean! * !RCP45_2039_Mean!" "Python 3" # Text
AddField "POP vs Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs RCP 4.5 (2020-2039)" DALY_SHDIxRCP4539 "Double (double precision)" # # # "(DALY+SHDI)xRCP 45 (2020-2039)" NULLABLE NON_REQUIRED #
CalculateField "POP vs SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2015)" DALY_SHDIxRCP4539 "(!DALY_Drought_Mean! + !SHDI_MEAN!) * !RCP45_2039_Mean!" "Python 3" # Text
AddField "POP vs Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs RCP 4.5 (2020-2039)" DALY_SHDIxRCP4559 "Double (double precision)" # # # "(DALY+SHDI)xRCP 45 (2040-2059)" NULLABLE NON_REQUIRED #
CalculateField "POP vs SPI6\TransverseHex100x100km POP vs DALY x SPI6 (2015)" DALY_SHDIxRCP4559 "(!SHDI_MEAN! + !DALY_Drought_Mean!) * !RCP45_2059_Mean!" "Python 3" # Text
JoinField "POP vs (DALY+SHDI) x Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs (DALY+SHDI) x RCP 4.5 (2020-2039)" GRID_ID Zonal_DRY8539 GRID_ID RCP85_39_Mean
JoinField "POP vs (DALY+SHDI) x Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs (DALY+SHDI) x RCP 4.5 (2020-2039)" GRID_ID Zonal_DRY8559 GRID_ID RCP85_59_Mean
AddField "POP vs (DALY+SHDI) x Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs (DALY+SHDI) x RCP 4.5 (2020-2039)" DALYxRCP8539 "Float (single precision)" # # # "DALY x RCP85 (2020-2039)" NULLABLE NON_REQUIRED #
AddField "POP vs (DALY+SHDI) x Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs (DALY+SHDI) x RCP 4.5 (2020-2039)" DALYxRCP8559 "Float (single precision)" # # # "DALY x RCP85 (2040-2059)" NULLABLE NON_REQUIRED #
AlterField "POP vs Climate Change Projected RCP 8.5\TransverseHex100x100km POP vs RCP 8.5 (2040-2059)" RCP85_59_Mean RCP85_59_Mean "RCP 85 (2040-2059)" "Double (double precision)" 8 NULLABLE DO_NOT_CLEAR
CalculateField "POP vs (DALY+SHDI) x Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs (DALY+SHDI) x RCP 4.5 (2020-2039)" DALYxRCP8539 "!DALY_Drought_Mean! * !DALYxRCP8539!" "Python 3" # Text
CalculateField "POP vs (DALY+SHDI) x Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs (DALY+SHDI) x RCP 4.5 (2020-2039)" DALYxRCP8539 "!DALY_Drought_Mean! * !RCP85_39_Mean!" "Python 3" # Text
CalculateField "POP vs (DALY+SHDI) x Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs (DALY+SHDI) x RCP 4.5 (2020-2039)" DALYxRCP8559 "!DALY_Drought_Mean! * !RCP85_59_Mean!" "Python 3" # Text
AddField "POP vs (DALY+SHDI) x Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs (DALY+SHDI) x RCP 4.5 (2020-2039)" DALY_SHDIxRCP8539 "Double (double precision)" # # # "(DALY+SHDI)xRCP 85 (2020-2039)" NULLABLE NON_REQUIRED #
AddField "POP vs (DALY+SHDI) x Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs (DALY+SHDI) x RCP 4.5 (2020-2039)" DALY_SHDIxRCP8559 "Double (double precision)" # # # "(DALY+SHDI)xRCP 85 (2040-2059)" NULLABLE NON_REQUIRED #
CalculateField "POP vs DALY x Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs DALY x RCP 4.5 (2020-2039)" DALY_SHDIxRCP8539 "(!DALY_Drought_Mean! + !SHDI_MEAN!) * !RCP85_39_Mean!" "Python 3" # Text
CalculateField "POP vs DALY x Climate Change Projected RCP 4.5\TransverseHex100x100km POP vs DALY x RCP 4.5 (2020-2039)" DALY_SHDIxRCP8559 "(!DALY_Drought_Mean! + !SHDI_MEAN!) * !RCP85_59_Mean!" "Python 3" # Text
AlterField "POP vs (DALY+SHDI) x Climate Change Projected RCP 8.5\TransverseHex100x100km POP vs (DALY+SHDI) x RCP 8.5 (2020-2039)" DALY_SHDIxRCP8539 DALY_SHDIxRCP8539 "(DALY+SHDI)xRCP 85 (2020-2039)" "Double (double precision)" 8 NULLABLE DO_NOT_CLEAR
AlterField "Climate Change based on projected data for drought\Climate Change Projected RCP 8.5\POP vs (DALY+SHDI) x Climate Change Projected RCP 8.5\TransverseHex100x100km POP vs (DALY+SHDI) x RCP 8.5 (2020-2039)" RCP85_59_Mean RCP8559_Mean "RCP 85 (2040-2059)" "Double (double precision)" 8 NULLABLE DO_NOT_CLEAR
CopyMultiple "G:\000_UNOSAT\004_APDRN_Project\Risk_Hotspot\Hex_Risk_Hotspot\Hex_Risk_Hotspot.gdb\TransverseHex100x100km FeatureClass" G:\000_UNOSAT\004_APDRN_Project\Risk_Hotspot\Hex_Risk_Hotspot\Hexagon_Drought.gdb TransverseHex100x100km "TransverseHex100x100km FeatureClass TransverseHex100x100km #"
CopyMultiple "D:\APDRN\Webmap\RiskHotspot\Drought\Drought.gdb\BNDA_50_ESCAP_Final FeatureClass;D:\APDRN\Webmap\RiskHotspot\Drought\Drought.gdb\TransverseHex100x100km FeatureClass" D:\APDRN\Webmap\Hexagon_Risk_Hotspot_ALL\Hexagon_Risk_Hotspot.gdb BNDA_50_ESCAP_Final;TransverseHex100x100km "BNDA_50_ESCAP_Final FeatureClass BNDA_50_ESCAP_Final #;TransverseHex100x100km FeatureClass TransverseHex100x100km #"
Rename D:\APDRN\Webmap\Hexagon_Risk_Hotspot_ALL\Hexagon_Risk_Hotspot.gdb\TransverseHex100x100km D:\APDRN\Webmap\Hexagon_Risk_Hotspot_ALL\Hexagon_Risk_Hotspot.gdb\TransverseHex100x100km_Drought FeatureClass
AddIndex TransverseHex100x100km_Drought Population Population NON_UNIQUE NON_ASCENDING
AddIndex TransverseHex100x100km_Drought DALY_SHDIxSPI6_2019_Mean (DALY+SHDI)xSPI6_2019 NON_UNIQUE NON_ASCENDING
AddIndex TransverseHex100x100km_Drought DALY_SHDIxSPI6_2015 (DALY+SHDI)xSPI6_2015 NON_UNIQUE NON_ASCENDING
AddIndex TransverseHex100x100km_Drought DALY_SHDIxRCP4539 "(DALY+SHDI)xRCP 45 (2020-2039)" NON_UNIQUE NON_ASCENDING
AddIndex TransverseHex100x100km_Drought DALY_SHDIxRCP4559 "(DALY+SHDI)xRCP 45 (2040-2059)" NON_UNIQUE NON_ASCENDING
AddIndex TransverseHex100x100km_Drought DALY_SHDIxRCP8539 "(DALY+SHDI)xRCP 85 (2020-2039)" NON_UNIQUE NON_ASCENDING
AddIndex TransverseHex100x100km_Drought DALY_SHDIxRCP8559 "(DALY+SHDI)xRCP 85 (2040-2059)" NON_UNIQUE NON_ASCENDING
TransverseHex100x100km
002
file://\\UNOSAT-WITTAWAT\D$\APDRN\Webmap\Hexagon_Risk_Hotspot_ALL\Hexagon_Risk_Hotspot.gdb
Local Area Network
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.8.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20210623
16050400
20210623
16050400
Microsoft Windows 10 Version 10.0 (Build 19043) ; Esri ArcGIS 12.8.0.29751
TransverseHex100x100km_Drought
Drought
TransverseHex100x100km_Drought
File Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
TransverseHex100x100km
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
GRID_ID
GRID_ID
String
12
0
0
Population
Population
Double
8
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20210623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