20230824
14284500
1.0
FALSE
dpm_tambon_regionall
002
0.000
file://\\PUTTER\C$\Users\nitip\OneDrive\เอกสาร\ArcGIS\Projects\Village\Village.gdb
Local Area Network
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>1111948722.2222221</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>
ExportFeatures DPMGISADMIN.DPM_TH_Tambon E:\Boundary_Master\Boundary.gdb\DPM_TH_Tambon # NOT_USE_ALIAS "TAM_CODE "รหัสตำบล" true true false 6 Text 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,TAM_CODE,0,6;TAM_NAM_T "ชื่อตำบล" true true false 254 Text 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,TAM_NAM_T,0,254;TAM_NAM_E "ชื่อตำบลภาษาอังกฤษ" true true false 254 Text 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,TAM_NAM_E,0,254;AMP_CODE "รหัสอำเภอ" true true false 254 Text 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,AMP_CODE,0,254;AMP_NAM_T "ชื่ออำเภอ" true true false 254 Text 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,AMP_NAM_T,0,254;AMP_NAM_E "ชื่ออำเภอภาษาอังกฤษ" true true false 254 Text 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,AMP_NAM_E,0,254;PROV_CODE "รหัสจังหวัด" true true false 254 Text 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,PROV_CODE,0,254;PROV_NAM_T "ชื่อจังหวัด" true true false 254 Text 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,PROV_NAM_T,0,254;PROV_NAM_E "ชื่อจังหวัดภาษาอังกฤษ" true true false 254 Text 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,PROV_NAM_E,0,254;REGION_6 "ภูมิภาค 6 ภาค" true true false 254 Text 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,REGION_6,0,254;REGION_4 "ภูมิภาค 4 ภาค" true true false 254 Text 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,REGION_4,0,254;REGION_TMD "ภูมิภาคทางอุตุนิยมวิทยา" true true false 255 Text 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,REGION_TMD,0,255;UNITH "รหัส ปภ. ศูนย์เขต" true true false 10 Text 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,UNITH,0,10;UNITHS "เขตศูนย์ป้องกันและบรรเทาสาธารณภัย ปภ. ศูนย์เขต" true true false 255 Text 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,UNITHS,0,255;Shape__Length "SHAPE__Length" false true true 0 Double 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,Shape__Length,-1,-1;Shape__Area "SHAPE__Area" false true true 0 Double 0 0,First,#,DPMGISADMIN.DPM_TH_Tambon,Shape__Area,-1,-1" #
Clip ขอบเขต\DPM_TH_Tambon DPM_TH_Province_003 C:\Users\nitip\OneDrive\เอกสาร\ArcGIS\Projects\Village\Village.gdb\DPM_TH_Tambon_003 #
20250625
15304200
20250625
15304200
Esri ArcGIS 13.1.2.41833
DPM_TH_Tambon_003
File Geodatabase Feature Class
0.000
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
dpm_tambon_regionall
Feature Class
0
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
TAM_CODE
รหัสตำบล
String
6
0
0
TAM_NAM_T
ชื่อตำบล
String
254
0
0
TAM_NAM_E
ชื่อตำบลภาษาอังกฤษ
String
254
0
0
AMP_CODE
รหัสอำเภอ
String
254
0
0
AMP_NAM_T
ชื่ออำเภอ
String
254
0
0
AMP_NAM_E
ชื่ออำเภอภาษาอังกฤษ
String
254
0
0
PROV_CODE
รหัสจังหวัด
String
254
0
0
PROV_NAM_T
ชื่อจังหวัด
String
254
0
0
PROV_NAM_E
ชื่อจังหวัดภาษาอังกฤษ
String
254
0
0
REGION_6
ภูมิภาค 6 ภาค
String
254
0
0
REGION_4
ภูมิภาค 4 ภาค
String
254
0
0
REGION_TMD
ภูมิภาคทางอุตุนิยมวิทยา
String
255
0
0
UNITH
รหัส ปภ. ศูนย์เขต
String
10
0
0
UNITHS
เขตศูนย์ป้องกันและบรรเทาสาธารณภัย ปภ. ศูนย์เขต
String
255
0
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
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.
20250625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==