20230505
16034200
1.0
FALSE
USA_Structures_Clip_SummarizeWithin
002
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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/2.9.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>148923141.92838538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20230505
18423700
20230505
18423700
Esri ArcGIS 12.9.4.32739
USA_Structures_Clip_SummarizeWithin
A
File Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
USA_Structures_Clip_SummarizeWithin
Feature Class
0
OBJECTID
OBJECTID
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.
BUILD_ID
BUILD_ID
Integer
4
0
0
OCC_CLS
OCC_CLS
String
20
0
0
PRIM_OCC
PRIM_OCC
String
35
0
0
SEC_OCC
SEC_OCC
String
13
0
0
PROP_ADDR
PROP_ADDR
String
80
0
0
PROP_CITY
PROP_CITY
String
50
0
0
PROP_ST
PROP_ST
String
50
0
0
PROP_ZIP
PROP_ZIP
String
50
0
0
OUTBLDG
OUTBLDG
String
13
0
0
HEIGHT
HEIGHT
Single
4
0
0
SQMETERS
SQMETERS
Single
4
0
0
SQFEET
SQFEET
Single
4
0
0
H_ADJ_ELEV
H_ADJ_ELEV
Single
4
0
0
L_ADJ_ELEV
L_ADJ_ELEV
Single
4
0
0
FIPS
FIPS
String
13
0
0
CENSUSCODE
CENSUSCODE
String
20
0
0
PROD_DATE
PROD_DATE
Date
8
0
0
SOURCE
SOURCE
String
50
0
0
USNG
USNG
String
50
0
0
LONGITUDE
LONGITUDE
Double
8
0
0
LATITUDE
LATITUDE
Double
8
0
0
IMAGE_NAME
IMAGE_NAME
String
50
0
0
IMAGE_DATE
IMAGE_DATE
Date
8
0
0
VAL_METHOD
VAL_METHOD
String
50
0
0
REMARKS
REMARKS
String
500
0
0
UUID
UUID
String
50
0
0
STATE_FIPS
State FIPS
String
2
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.
20230505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