20231130
12315500
1.0
FALSE
WEB.DATAOWNER.Investment_Opportunities
002
Server=192.168.0.217; Service=sde:sqlserver:192.168.0.217; Database=WEB; User=dataowner; Version=sde.DEFAULT
ArcSDE Connection
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/10.8'><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>
Merge حمام_السباحة;حدود_الفندق;انترلوك1;المبني;البوفية;البوابة;حديقة_الحيوانات;حدود_حديقة_صنعاء;بلوكات_مبانى;انترلوك;interlook;green_area;محلات_صنعاء;نافوره C:\Users\DR-ahmed\Documents\ArcGIS\Default.gdb\حمام_السباحة_Merge "SHAPE_Length "SHAPE_Length" false true true 8 Double 0 0 ,First,#,حمام_السباحة,SHAPE_Length,-1,-1,حدود_الفندق,SHAPE_Length,-1,-1,انترلوك1,SHAPE_Length,-1,-1,المبني,SHAPE_Length,-1,-1,البوفية,SHAPE_Length,-1,-1,البوابة,SHAPE_Length,-1,-1,حديقة_الحيوانات,SHAPE_Length,-1,-1,حدود_حديقة_صنعاء,SHAPE_Length,-1,-1,بلوكات_مبانى,SHAPE_Length,-1,-1,انترلوك,SHAPE_Length,-1,-1,interlook,SHAPE_Length,-1,-1,green_area,SHAPE_Length,-1,-1,محلات_صنعاء,SHAPE_Length,-1,-1,نافوره,SHAPE_Length,-1,-1;SHAPE_Area "SHAPE_Area" false true true 8 Double 0 0 ,First,#,حمام_السباحة,SHAPE_Area,-1,-1,حدود_الفندق,SHAPE_Area,-1,-1,انترلوك1,SHAPE_Area,-1,-1,المبني,SHAPE_Area,-1,-1,البوفية,SHAPE_Area,-1,-1,البوابة,SHAPE_Area,-1,-1,حديقة_الحيوانات,SHAPE_Area,-1,-1,حدود_حديقة_صنعاء,SHAPE_Area,-1,-1,بلوكات_مبانى,SHAPE_Area,-1,-1,انترلوك,SHAPE_Area,-1,-1,interlook,SHAPE_Area,-1,-1,green_area,SHAPE_Area,-1,-1,محلات_صنعاء,SHAPE_Area,-1,-1,نافوره,SHAPE_Area,-1,-1;المساحة "المساحة" true true false 8 Double 0 0 ,First,#,حدود_الفندق,المساحة,-1,-1"
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/3.0.0'><WorkspaceConnectionString>DATABASE=C:\Users\seyed\Desktop\الفرص الاستثمارية\نهائى الطبقات</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>فندق_صنعاء.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>name</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
ExportFeatures فندق_صنعاء "D:\تكليفات\all tasks from dr ahmed\الفرص الاستثماريه بمحافظة كفرالشيخ 7-11-2023\تجميع_16_11_2023.gdb\تجميع" # NOT_USE_ALIAS "OBJECTID "OBJECTID" true true false 10 Long 0 10,First,#,فندق_صنعاء,OBJECTID,-1,-1;المسا "المسا" true true false 19 Double 0 0,First,#,فندق_صنعاء,المسا,-1,-1;Shape_Leng "Shape_Leng" true true false 19 Double 0 0,First,#,فندق_صنعاء,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0,First,#,فندق_صنعاء,Shape_Area,-1,-1;name "name" true true false 254 Text 0 0,First,#,فندق_صنعاء,name,0,254" #
SpatialJoin تجميع maindata.DATAOWNER.whda C:\Users\abo\Documents\ArcGIS\Default1.gdb\تجميع_SpatialJoin JOIN_ONE_TO_ONE KEEP_ALL "name "name" true true false 254 Text 0 0 ,First,#,تجميع,name,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0 ,First,#,تجميع,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0 ,First,#,تجميع,Shape_Area,-1,-1;شياخات_markz "markz" true true false 50 Text 0 0 ,First,#,maindata.DATAOWNER.whda,شياخات_markz,-1,-1;شياخات_qism "qism" true true false 100 Text 0 0 ,First,#,maindata.DATAOWNER.whda,شياخات_qism,-1,-1;شياخات_whda "whda" true true false 100 Text 0 0 ,First,#,maindata.DATAOWNER.whda,شياخات_whda,-1,-1;شياخات_manager "manager" true true false 150 Text 0 0 ,First,#,maindata.DATAOWNER.whda,شياخات_manager,-1,-1;شياخات_agent "agent" true true false 150 Text 0 0 ,First,#,maindata.DATAOWNER.whda,شياخات_agent,-1,-1;شياخات_field_memb "field_memb" true true false 150 Text 0 0 ,First,#,maindata.DATAOWNER.whda,شياخات_field_memb,-1,-1;AREA "AREA" true true false 8 Double 8 38 ,First,#,maindata.DATAOWNER.whda,maindata.DATAOWNER.whda.AREA,-1,-1;Shape_STArea__ "Shape_STArea__" false true true 0 Double 0 0 ,First,#,maindata.DATAOWNER.whda,Shape.STArea(),-1,-1;Shape_STLength__ "Shape_STLength__" false true true 0 Double 0 0 ,First,#,maindata.DATAOWNER.whda,Shape.STLength(),-1,-1" INTERSECT # #
SpatialJoin تجميع_SpatialJoin تحديث_حيز_سبتمبر_2023 C:\Users\abo\Documents\ArcGIS\Default1.gdb\تجميع_SpatialJoin_SpatialJoi JOIN_ONE_TO_ONE KEEP_ALL "name "name" true true false 254 Text 0 0 ,First,#,تجميع_SpatialJoin,name,-1,-1;شياخات_markz "markz" true true false 50 Text 0 0 ,First,#,تجميع_SpatialJoin,شياخات_markz,-1,-1;شياخات_whda "whda" true true false 100 Text 0 0 ,First,#,تجميع_SpatialJoin,شياخات_whda,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0 ,First,#,تجميع_SpatialJoin,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0 ,First,#,تجميع_SpatialJoin,Shape_Area,-1,-1;OBJECTID "OBJECTID" true true false 10 Long 0 10 ,First,#,تحديث_حيز_سبتمبر_2023,OBJECTID,-1,-1;المرك "المرك" true true false 100 Text 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,المرك,-1,-1;الوحد "الوحد" true true false 100 Text 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,الوحد,-1,-1;type "type" true true false 50 Text 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,type,-1,-1;hyz "hyz" true true false 50 Text 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,hyz,-1,-1;hyz_name "hyz_name" true true false 50 Text 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,hyz_name,-1,-1;shyakha "shyakha" true true false 100 Text 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,shyakha,-1,-1;review_not "review_not" true true false 254 Text 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,review_not,-1,-1;name_1 "name_1" true true false 254 Text 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,name,-1,-1;القري "القري" true true false 100 Text 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,القري,-1,-1;العزب "العزب" true true false 50 Text 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,العزب,-1,-1;ملاحظ "ملاحظ" true true false 50 Text 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,ملاحظ,-1,-1;التحد "التحد" true true false 50 Text 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,التحد,-1,-1;Shape_Leng "Shape_Leng" true true false 19 Double 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,Shape_Leng,-1,-1;Shape_Le_1 "Shape_Le_1" true true false 19 Double 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,Shape_Le_1,-1,-1;Shape_Area_1 "Shape_Area_1" true true false 19 Double 0 0 ,First,#,تحديث_حيز_سبتمبر_2023,Shape_Area,-1,-1" INTERSECT # #
CalculateField الفرص_الاستثمارية qism [شياخا] VB #
CalculateField الفرص_الاستثمارية whda [شياخ_1] VB #
20231130
12354100
20231130
12354100
Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388
الفرص الاستثمارية
#kfs
#investment
#Opportunities
خريطة توضح مواقع للفرص الاستثمارية
SDE Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
TRUE
WEB.DATAOWNER.Investment_Opportunities
Feature Class
0
OBJECTID
OBJECTID_1
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
4
0
0
Feature geometry.
Esri
Coordinates defining the features.
name
name
String
254
0
0
hyz
hyz
String
50
0
0
hyz_name
hyz_name
String
50
0
0
qism
qism
String
50
0
0
whda
whda
String
50
0
0
land_use
land_use
String
100
0
0
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20231130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