20240124
11250100
1.0
FALSE
CreateFeatureclass "C:\\Users\\kclark\\Documents\\ArcGIS\\Projects\\GIS Project\\GIS Project.gdb" GEOMETRY_FROM_WKT Polygon # No No "PROJCS["NAD_1983_StatePlane_Virginia_South_FIPS_4502_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",11482916.66666666],PARAMETER["False_Northing",3280833.333333333],PARAMETER["Central_Meridian",-78.5],PARAMETER["Standard_Parallel_1",36.76666666666667],PARAMETER["Standard_Parallel_2",37.96666666666667],PARAMETER["Latitude_Of_Origin",36.33333333333334],UNIT["Foot_US",0.3048006096012192]];-111140600 -91532100 3048.00609601219;-100000 10000;-100000 10000;3.28083333333333E-03;0.001;0.001;IsHighPrecision" # 0 0 0 #
Rename "C:\Users\kclark\Documents\ArcGIS\Projects\GIS Project\GIS Project.gdb\GEOMETRY_FROM_WKT" "C:\Users\kclark\Documents\ArcGIS\Projects\GIS Project\GIS Project.gdb\Placer_2023_Visitation_Heatmap" FeatureClass
JoinField Placer_2023_Visitation_Heatmap OBJECTID visits_data.csv OBJECTID # "Select transfer fields" #
ExportFeatures Placer_2023_Visitation_Heatmap "Z:\1 - Katie GIS\Placer\Placer_2023_Visitation_Heatmap\Placer_2023_Visitation_Heatmap.shp" # NOT_USE_ALIAS "Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Placer_2023_Visitation_Heatmap,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Placer_2023_Visitation_Heatmap,Shape_Area,-1,-1;OBJECTID_1 "OBJECTID" true true false 4 Long 0 0,First,#,Placer_2023_Visitation_Heatmap,OBJECTID_1,-1,-1;geometry "geometry" true true false 8000 Text 0 0,First,#,Placer_2023_Visitation_Heatmap,geometry,0,8000;hex_id "hex_id" true true false 8000 Text 0 0,First,#,Placer_2023_Visitation_Heatmap,hex_id,0,8000;total_visits "total_visits" true true false 8 Double 0 0,First,#,Placer_2023_Visitation_Heatmap,total_visits,-1,-1;bin_number "bin_number" true true false 4 Long 0 0,First,#,Placer_2023_Visitation_Heatmap,bin_number,-1,-1;legend "legend" true true false 8000 Text 0 0,First,#,Placer_2023_Visitation_Heatmap,legend,0,8000" #
CopyFeatures "Placer Visitation" "C:\Users\hawilliams\Documents\ArcGIS\Projects\SQL Connect PGIS TGIS DGIS\GISPROD HAWILLIAMS.sde\DBO.Miscellaneous\DBO.Placer_Visitation" # # # #
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>DBO.Miscellaneous</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e68496757397473704a576c52674e7466524a6b65483969342f7334394837554243773472497252325569796b3d2a00;ENCRYPTED_PASSWORD=00022e684759713249724a4e32636b52625874785a3834373974586b7a6e526166466d464e305231735962426358343d2a00;SERVER=PGIS;INSTANCE=sde:sqlserver:PGIS;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=PGIS;DATABASE=GISPROD;USER=gisadmin;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>DBO.Placer_Visitation</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>total_visits</field_name><field_type>DOUBLE</field_type><field_precision>7</field_precision><field_scale>1</field_scale><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
DBO.Placer_Visitation
002
0.000
Server=PGIS; Service=sde:sqlserver:PGIS; Database=GISPROD; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_NAD_1983_2011
Linear Unit: Foot_US (0.304801)
NAD_1983_2011_StatePlane_Virginia_South_FIPS_4502_Ft_US
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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>PROJCS["NAD_1983_2011_StatePlane_Virginia_South_FIPS_4502_Ft_US",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",11482916.66666666],PARAMETER["False_Northing",3280833.333333333],PARAMETER["Central_Meridian",-78.5],PARAMETER["Standard_Parallel_1",36.76666666666667],PARAMETER["Standard_Parallel_2",37.96666666666667],PARAMETER["Latitude_Of_Origin",36.33333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",6595]],VERTCS["NAVD88_height_(ftUS)",VDATUM["North_American_Vertical_Datum_1988"],PARAMETER["Vertical_Shift",0.0],PARAMETER["Direction",1.0],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",6360]]</WKT><XOrigin>-111140600</XOrigin><YOrigin>-91532100</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103177</WKID><LatestWKID>6595</LatestWKID><VCSWKID>105703</VCSWKID><LatestVCSWKID>6360</LatestVCSWKID></ProjectedCoordinateSystem>
20241119
16040700
20241119
16040700
Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.1.5.41833
Placer Visitation
Enterprise Geodatabase Feature Class
0.000
dataset
EPSG
8.2.10(10.3.1)
0
Simple
FALSE
0
TRUE
FALSE
DBO.Placer_Visitation
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.
Shape_Leng
Shape_Leng
Double
8
38
8
OBJECTID_1
OBJECTID_1
Integer
4
10
0
geometry
geometry
String
254
0
0
hex_id
hex_id
String
254
0
0
total_visi
total_visi
Double
8
38
8
bin_number
bin_number
Integer
4
10
0
legend
legend
String
254
0
0
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20241119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