20210926
22423300
1.0
FALSE
Adm1_Cyclone
002
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/3.0.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
20230216
13444700
20230216
13444700
Esri ArcGIS 12.8.0.29751
Adm1_Cyclone
File Geodatabase Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
Adm1_Cyclone
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.
POLY_ID
POLY_ID
Double
8
0
0
ADM1_NAME
ADM1_NAME
String
26
0
0
ADM1_CODE
ADM1_CODE
String
20
0
0
ISO_3_CODE
ISO_3_CODE
String
3
0
0
CENTROID_X
CENTROID_X
Double
8
0
0
CENTROID_Y
CENTROID_Y
Double
8
0
0
WHO_REGION
WHO_REGION
String
50
0
0
ADM0_NAME
ADM0_NAME
String
50
0
0
ADM0_CODE
ADM0_CODE
String
50
0
0
ADM0_SOVRN
ADM0_SOVRN
String
50
0
0
ADM0_ALTID
ADM0_ALTID
String
50
0
0
ADM0_VIZ_N
ADM0_VIZ_N
String
50
0
0
sum_
sum
Double
8
0
0
SUM_AreaKM
AreaKM
Double
8
0
0
Shape_Leng
Shape_Leng
Double
8
0
0
SUM_Length
SUM_Length
Double
8
0
0
SUM_PNT_CO
SUM_PNT_CO
Double
8
0
0
AREA_GEO
AREA_GEO
Double
8
0
0
Dens
Dens
Double
8
0
0
UrbArSubs
UrbArSubs
Double
8
0
0
RdsLghtsSu
RdsLghtsSu
Double
8
0
0
RoadsvertS
RoadsvertS
Double
8
0
0
UrbIndex
UrbIndex
Double
8
0
0
Indeurbver
Indeurbver
Double
8
0
0
DensQ
DensQ
Double
8
0
0
UrbAreasQ
UrbAreasQ
Double
8
0
0
RdsLghtsQ
RdsLghtsQ
Double
8
0
0
RdsVertQ
RdsVertQ
Double
8
0
0
sum_x
sum_x
Integer
4
0
0
UrbArSub_1
UrbArSub
Double
8
0
0
RdsLghts_1
RdsLghts
Double
8
0
0
Roadsver_1
Roadsver
Double
8
0
0
UrbIndex_1
UrbIndex
Double
8
0
0
Indeurbv_1
Indeurbv
Double
8
0
0
RoadsRat
RoadsRat
Double
8
0
0
UrbRat
UrbRat
Double
8
0
0
VertRat
VertRat
Double
8
0
0
UrbPerc
UrbPerc
Double
8
0
0
RoadLngPer
RoadLngPer
Double
8
0
0
VertPerc
VertPerc
Double
8
0
0
UrbRatSub
UrbRatSub
Double
8
0
0
RoadsRatSu
RoadsRatSu
Double
8
0
0
VertRatSub
VertRatSub
Double
8
0
0
DensityPer
DensityPer
Double
8
0
0
Densityp_1
Densityp
Double
8
0
0
UrbaAreasQ
UrbaAreas
String
254
0
0
RoadsQ
Roads
String
254
0
0
VerticesQ
Vertices
String
254
0
0
DensQ1
DensQ
String
254
0
0
UrbIndexQ
UrbIndexQ
String
254
0
0
UrbIndVert
UrbIndVert
Integer
4
0
0
Sum_Pop202
2020 population
Integer
4
0
0
Sum_Cli_Di
Total clinics
Integer
4
0
0
Sum_Helth_
Sum_Helth_
Integer
4
0
0
Sum_Hospit
Number of hospitals
Integer
4
0
0
Sum_Tot_Fa
Number of health facilities
Integer
4
0
0
Clinics_pe
Number of clinics
Double
8
0
0
HCentre_pe
HCentre_pe
Double
8
0
0
Hospital_p
Hospital_p
Double
8
0
0
TotFacilit
Number of facilities
Integer
4
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.
20230216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