20210514
11290500
1.0
FALSE
base_points
002
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001
<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/10.7'><WKT>PROJCS["NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001",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",200000.0],PARAMETER["False_Northing",750000.0],PARAMETER["Central_Meridian",-71.5],PARAMETER["Standard_Parallel_1",41.71666666666667],PARAMETER["Standard_Parallel_2",42.68333333333333],PARAMETER["Latitude_Of_Origin",41.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26986]]</WKT><XOrigin>-36530900</XOrigin><YOrigin>-28803200</YOrigin><XYScale>10000</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>26986</WKID><LatestWKID>26986</LatestWKID></ProjectedCoordinateSystem>
20210329
12465300
20210329
12465300
ISO 19139 Metadata Implementation Specification GML3.2
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
base_points
File Geodatabase Feature Class
dataset
EPSG
2.1(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
base_points
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.
rtn
rtn
String
13
0
0
name
name
String
200
0
0
address
address
String
100
0
0
sitetype
sitetype
String
50
0
0
datasource
datasource
String
13
0
0
town
town
String
30
0
0
status
status
String
254
0
0
epa_id
epa_id
String
254
0
0
eparefnum
eparefnum
Double
8
0
0
site_info
site_info
String
250
0
0
rao_class
rao_class
String
254
0
0
hw_id
hw_id
String
12
0
0
sw_id
sw_id
String
10
0
0
sseis_id
sseis_id
Integer
4
0
0
npdes_id
npdes_id
String
15
0
0
ownertype
ownertype
String
20
0
0
Acre
Acre
Double
8
0
0
C_Use
C_Use
String
254
0
0
C_Stat
C_Stat
String
254
0
0
AUL_Stat
AUL_Stat
String
254
0
0
Elect
Elect
String
254
0
0
Gas
Gas
String
254
0
0
Near_mi
Near_mi
Double
8
0
0
DNIkWHm2da
DNIkWHm2da
Double
8
0
0
EstPVCap
EstPVCap
Double
8
0
0
LrgUtilPV
LrgUtilPV
String
254
0
0
UtilPV
UtilPV
String
254
0
0
SmUtilPV
SmUtilPV
String
254
0
0
DistribPV
DistribPV
String
254
0
0
Offgrid
Offgrid
String
254
0
0
NoAcreage
NoAcreage
String
254
0
0
SSVoltage
SSVoltage
Double
8
0
0
SSDist
SSDist
Double
8
0
0
TLStatus
TLStatus
String
254
0
0
TLkV
TLkV
Double
8
0
0
Landfill
Landfill
String
254
0
0
LStatus
LStatus
String
254
0
0
LYrClosed
LYrClosed
String
254
0
0
LOwner
LOwner
String
254
0
0
LOwnerType
LOwnerType
String
254
0
0
muni_id
town_id
Integer
4
0
0
Municipality
town
String
21
0
0
mapc_id
MAPC Assigned ID
Integer
4
0
0
site_addr
Address
String
80
0
0
addr_str
Street
String
60
0
0
addr_num
Street Number
String
12
0
0
addr_zip
Zip Code
String
12
0
0
owner_name
Owner Name
String
80
0
0
owner_addr
Owner Address
String
80
0
0
owner_city
Owner City
String
25
0
0
owner_stat
Owner State
String
4
0
0
owner_zip
Owner Zip Code
String
10
0
0
fy
Fiscal Year
Integer
4
0
0
lot_areaft
Lot Area (square feet)
Double
8
0
0
pct_imperv
Percent Impervious (Total)
Double
8
0
0
pct_bldg
Percent Building Coverage
Double
8
0
0
pct_pave
Percent Paved Coverage
Double
8
0
0
landv_pac
Land Value per Acre
Double
8
0
0
bldgv_psf
Building Value per Sq Ft of Floor Area
Double
8
0
0
totv_pac
Total Value per Acre
Double
8
0
0
sqm_imperv
Total Impervious Area (sqm)
Double
8
0
0
sqm_bldg
Building Coverage Area (sqm)
Double
8
0
0
sqm_pave
Paved Coverage Area (sqm)
Double
8
0
0
20210329
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