20240507
13174400
1.0
FALSE
ProtectedAreas_MeanRoadDist
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/3.1.0'><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>8.9831529999999992e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
20240507
13174400
20240507
13174400
Esri ArcGIS 13.1.3.41833
ProtectedAreas_MeanRoadDist
saudi arabi
vulnerability
distance
roads
Saudi Protected Areas with average distance from roads
File Geodatabase Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
ProtectedAreas_MeanRoadDist
Feature Class
0
OBJECTID_1
OBJECTID_1
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.
WDPAID
WDPAID
Double
8
0
0
WDPA_PID
WDPA_PID
String
52
0
0
PA_DEF
PA_DEF
String
20
0
0
NAME
NAME
String
254
0
0
ORIG_NAME
ORIG_NAME
String
254
0
0
DESIG
DESIG
String
254
0
0
DESIG_ENG
DESIG_ENG
String
254
0
0
DESIG_TYPE
DESIG_TYPE
String
20
0
0
IUCN_CAT
IUCN_CAT
String
20
0
0
INT_CRIT
INT_CRIT
String
100
0
0
MARINE
MARINE
String
20
0
0
REP_M_AREA
REP_M_AREA
Double
8
0
0
GIS_M_AREA
GIS_M_AREA
Double
8
0
0
REP_AREA
REP_AREA
Double
8
0
0
GIS_AREA
GIS_AREA
Double
8
0
0
NO_TAKE
NO_TAKE
String
50
0
0
NO_TK_AREA
NO_TK_AREA
Double
8
0
0
STATUS
STATUS
String
100
0
0
STATUS_YR
STATUS_YR
Integer
4
0
0
GOV_TYPE
GOV_TYPE
String
254
0
0
OWN_TYPE
OWN_TYPE
String
254
0
0
MANG_AUTH
MANG_AUTH
String
254
0
0
MANG_PLAN
MANG_PLAN
String
254
0
0
VERIF
VERIF
String
20
0
0
METADATAID
METADATAID
Integer
4
0
0
SUB_LOC
SUB_LOC
String
100
0
0
PARENT_ISO3
PARENT_ISO3
String
50
0
0
ISO3
ISO3
String
50
0
0
SUPP_INFO
SUPP_INFO
String
254
0
0
CONS_OBJ
CONS_OBJ
String
100
0
0
OBJECTID
OBJECTID
Integer
4
0
0
WDPA_PID_1
WDPA_PID
String
52
0
0
ZONE_CODE
ZONE_CODE
Integer
4
0
0
COUNT
COUNT
Double
8
0
0
AREA
AREA
Double
8
0
0
MIN
MIN
Double
8
0
0
MAX
MAX
Double
8
0
0
RANGE
RANGE
Double
8
0
0
MEAN
MEAN
Double
8
0
0
STD
STD
Double
8
0
0
SUM
SUM
Double
8
0
0
MEDIAN
MEDIAN
Double
8
0
0
PCT90
PCT90
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.
20240507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