20231220
12123200
FALSE
DefineProjection tambon_new_2556 PROJCS['Indian_1975_UTM_Zone_47N',GEOGCS['GCS_Indian_1975',DATUM['D_Indian_1975',SPHEROID['Everest_Adjustment_1937',6377276.345,300.8017]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',99.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]] tambon_new_2556
Project tambon_new_2556 M:\database\ADMIN56\tambon_new_Z47.shp PROJCS['WGS_1984_UTM_Zone_47N',GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.2572235630016]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['false_easting',500000.0],PARAMETER['false_northing',0.0],PARAMETER['central_meridian',99.0],PARAMETER['scale_factor',0.9996],PARAMETER['latitude_of_origin',0.0],UNIT['Meter',1.0]] Indian_1975_To_WGS_1984 PROJCS['Indian_1975_UTM_Zone_47N',GEOGCS['GCS_Indian_1975',DATUM['D_Indian_1975',SPHEROID['Everest_Adjustment_1937',6377276.345,300.8017]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',99.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]]
Dissolve tambon_new_Z47 F:\ADMIN56\tambon_2556.shp FID;OBJECTID;SHAPE_LENG;AREA;TAMBON_IDN;TAM_CODE;TAM_NAM_T;AMPHOE_IDN;AMP_CODE;AMPHOE_T;AMPHOE_E;PROV_CODE;PROV_NAM_T;REMARK # MULTI_PART DISSOLVE_LINES
Dissolve tambon_2556 F:\ADMIN56\tambon_2556_Dissolve.shp OBJECTID;SHAPE_LENG;AREA;TAMBON_IDN;TAM_CODE;TAM_NAM_T;AMPHOE_IDN;AMP_CODE;AMPHOE_T;AMPHOE_E;PROV_CODE;PROV_NAM_T;REMARK # MULTI_PART DISSOLVE_LINES
Dissolve tambon_2556_Dissolve F:\ADMIN56\prov_2556.shp PROV_CODE;PROV_NAM_T # MULTI_PART DISSOLVE_LINES
CreateCADXData prov_2556 PROV_NAM_T ArcGIS ADE prov_2556
CalculateField prov_2556 Prov_name "[PROV_NAM_T] = [Prov_name]" VB #
CalculateField prov_2556 Prov_name "[Prov_name] = [PROV_NAM_T]" VB #
CopyFeatures Prov_56 D:\_BaekupFromDREAM\OneDrive\file\ArcGIS\Projects\test_symbol\gis-db.disaster.go.th.sde\DPMGISADMIN.NDWC\DPMGISADMIN.Prov_56 # # # #
ExportFeatures DPMGISADMIN.Prov_56 E:\Readytouse_RISK\Ready_to_use_RISK\Ready_to_use_RISK.gdb\NDWC_Province_Monitoring_Warning_View # NOT_USE_ALIAS "PROV_CODE "PROV_CODE" true true false 2 Text 0 0,First,#,DPMGISADMIN.Prov_56,PROV_CODE,0,2;PROV_NAM_T "PROV_NAM_T" true true false 50 Text 0 0,First,#,DPMGISADMIN.Prov_56,PROV_NAM_T,0,50;sector "sector" true true false 50 Text 0 0,First,#,DPMGISADMIN.Prov_56,sector,0,50;F09052561 "09052561" true true false 2 Short 0 5,First,#,DPMGISADMIN.Prov_56,F09052561,-1,-1" #
ExportFeatures NDWC_Province_Monitoring_Warning_View C:\Users\watha\AppData\Roaming\Esri\ArcGISPro\Favorites\gis-db.disaster.go.th.sde\DPMGISADMIN.NDWC\DPMGISADMIN.NDWC_Province_Monitoring_Warning_View # NOT_USE_ALIAS "PROV_CODE "PROV_CODE" true true false 2 Text 0 0,First,#,NDWC_Province_Monitoring_Warning_View,PROV_CODE,0,2;PROV_NAM_T "PROV_NAM_T" true true false 50 Text 0 0,First,#,NDWC_Province_Monitoring_Warning_View,PROV_NAM_T,0,50;sector "sector" true true false 50 Text 0 0,First,#,NDWC_Province_Monitoring_Warning_View,sector,0,50;F09052561 "09052561" true true false 2 Short 0 0,First,#,NDWC_Province_Monitoring_Warning_View,F09052561,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,NDWC_Province_Monitoring_Warning_View,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,NDWC_Province_Monitoring_Warning_View,Shape_Area,-1,-1" #
UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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'><FeatureDataset>DPMGISADMIN.NDWC</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e683369643175534373776839356b6e4c76766e41747749416b337865534b416364477762762f6e6e6b3669383d2a00;ENCRYPTED_PASSWORD=00022e684e63765676674630424b41416371487847334e5374436c4b4b6d396f47334b50656c6f485759506a66616b3d2a00;SERVER=gis-db.disaster.go.th;INSTANCE=sde:sqlserver:gis-db.disaster.go.th;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=gis-db.disaster.go.th;DATABASE=DPMGISDB;USER=DPMGISADMIN;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>DPMGISADMIN.NDWC_Province_Monitoring_Warning_View</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" "<operationSequence><workflow><AddGlobalIDs /></workflow><workflow><EnableAttachments /></workflow><workflow><EnableEditorTracking><creator_field>created_user</creator_field><creation_date_field>created_date</creation_date_field><last_editor_field>last_edited_user</last_editor_field><last_edit_date_field>last_edited_date</last_edit_date_field><add_fields>TRUE</add_fields><record_dates_in>UTC</record_dates_in></EnableEditorTracking></workflow></operationSequence>"
Server=gis-db.disaster.go.th; Service=sde:sqlserver:gis-db.disaster.go.th; Database=DPMGISDB; User=DPMGISADMIN; Version=sde.DEFAULT
ArcSDE Connection
DPMGISADMIN.NDWC_Province_Monitoring_Warning_View
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>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</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>
20240202
12050900
20240202
12050900
1.0
\\DELLT7500-PC\D$\ขอบเขตการปกครอง56\prov_2556.shp
REQUIRED: The name of an organization or individual that developed the data set.
REQUIRED: The date when the data set is published or otherwise made available for release.
prov_2556
prov_2556
vector digital data
Microsoft Windows Vista Version 6.1 (Build 7601) Service Pack 1; ESRI ArcCatalog 9.3.0.1770
th
REQUIRED: A brief narrative summary of the data set.
REQUIRED: A summary of the intentions with which the data set was developed.
REQUIRED: The basis on which the time period of content information is determined.
REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground.
REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed.
97.324380
105.824661
20.467577
5.581287
325216.682597
1213667.762661
620826.974256
2263224.738904
REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.
REQUIRED: Common-use word or phrase used to describe the subject of the data set.
REQUIRED: Restrictions and legal prerequisites for accessing the data set.
REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted.
Shapefile
file://\\DELLT7500-PC\D$\ขอบเขตการปกครอง56\prov_2556.shp
Local Area Network
002
9.562
Shapefile
Enterprise Geodatabase Feature Class
Dataset copied.
20131118
16531400
Dataset moved.
F:\ADMIN56\prov_2556
20131119
15402300
Dataset copied.
M:\database\ADMIN56\Admin_Z47_2556\prov_2556
20131127
08342400
Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.1.0.41833
NDWC_Province_Monitoring_Warning_View
325216.682597
1213667.762661
2263224.738904
620826.974256
1
97.32438
105.824661
20.467577
5.581287
1
NDWC
NDWC_Province_Monitoring_Warning_View
th
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
REQUIRED: The person responsible for the metadata information.
REQUIRED: The organization responsible for the metadata information.
REQUIRED: The mailing and/or physical address for the organization or individual.
REQUIRED: The city of the address.
REQUIRED: The state or province of the address.
REQUIRED: The ZIP or other postal code of the address.
REQUIRED: The telephone number by which individuals can speak to the organization or individual.
20150202
ISO 19115 Geographic Information - Metadata
DIS_ESRI1.0
dataset
Downloadable Data
9.562
9.562
Vector
Simple
FALSE
0
TRUE
FALSE
GCS_WGS_1984
WGS_1984_UTM_Zone_47N
D_WGS_1984
WGS_1984
6378137.000000
298.257224
WGS_1984_UTM_Zone_47N
EPSG
6.2(3.0.1)
0
DPMGISADMIN.NDWC_Province_Monitoring_Warning_View
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
ESRI
Coordinates defining the features.
PROV_CODE
PROV_CODE
String
2
0
0
sector
sector
String
50
0
0
F09052561
09052561
SmallInteger
2
5
0
PROV_NAM_T
PROV_NAM_T
String
50
0
0
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20240202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