20231114
16543300
1.0
FALSE
PublicLandSurvey_QQSections
002
Projected
GCS_North_American_1983_HARN
Linear Unit: Foot_US (0.304801)
NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet
<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_HARN_StatePlane_Washington_South_FIPS_4602_Feet",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1640416.666666667],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-120.5],PARAMETER["Standard_Parallel_1",45.83333333333334],PARAMETER["Standard_Parallel_2",47.33333333333334],PARAMETER["Latitude_Of_Origin",45.33333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2927]],VERTCS["NAVD_1988",VDATUM["North_American_Vertical_Datum_1988"],PARAMETER["Vertical_Shift",0.0],PARAMETER["Direction",1.0],UNIT["Foot_US",0.3048006096012192]]</WKT><XOrigin>-117498300</XOrigin><YOrigin>-98850300</YOrigin><XYScale>1000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>3048.0060960121918</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.002</XYTolerance><ZTolerance>0.0032808333333333331</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2927</WKID><LatestWKID>2927</LatestWKID></ProjectedCoordinateSystem>
20231114
16552800
20231114
16552800
Esri ArcGIS 13.1.2.41833
PublicLandSurvey_QQSections
Spokane
PLSS
QQ
Spokane Area QQ Sections and centroid lat/long point for Spokane West Plains Water Coalition lookup tool
File Geodatabase Feature Class
dataset
EPSG
6.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
PublicLandSurvey_QQSections
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.
LEGAL_DESC_SYST_ID
LDID
Integer
4
0
0
LEGAL_DESC_TYPE_CD
LDTY
Integer
4
0
0
LEGAL_DESC_DUP_STATUS_FLG
LDDUPFLG
String
1
0
0
LEGAL_DESC_LABEL_NM
LEGAL_DESC_LABEL_NM
String
20
0
0
LEGAL_DESC_NM
LEGAL_DESC_NM
String
50
0
0
LEGAL_DESC_EST_DT
LDESTDT
Date
8
0
0
PLS_MERIDIAN_CD
PLSMER
SmallInteger
2
0
0
PLS_TWP_NO
PLS_TWP_NO
SmallInteger
2
0
0
PLS_TWP_FRACT_CD
PLS_TWP_FRACT_CD
SmallInteger
2
0
0
PLS_TWP_DIR_CD
PLS_TWP_DIR_CD
String
1
0
0
PLS_RNG_NO
PLS_RNG_NO
SmallInteger
2
0
0
PLS_RNG_FRACT_CD
PLS_RNG_FRACT_CD
SmallInteger
2
0
0
PLS_RNG_DIR_CD
PLS_RNG_DIR_CD
String
1
0
0
PLS_TWP_SUBDIV_TYPE_CD
PLS_TWP_SUBDIV_TYPE_CD
SmallInteger
2
0
0
PLS_TWP_SUBDIV_NO
PLS_TWP_SUBDIV_NO
SmallInteger
2
0
0
PLS_TWP_SUBDIV_NM
TWPSUBNM
String
50
0
0
PLS_SECT_SUBDIV_TYPE_CD
SECTSUBTY
SmallInteger
2
0
0
PLS_ALIQUOT_SUBDIV_LEVEL1_CD
ALIQUOT1
String
2
0
0
PLS_ALIQUOT_SUBDIV_LEVEL2_CD
ALIQUOT2
String
2
0
0
PLS_ALIQUOT_SUBDIV_LEVEL3_CD
ALIQUOT3
String
2
0
0
PLS_ALIQUOT_SUBDIV_LEVEL4_CD
ALIQUOT4
String
2
0
0
PLS_ALIQUOT_SUBDIV_LEVEL5_CD
ALIQUOT5
String
2
0
0
PLS_LOT_PARCEL_NO
PLSLOTPRCL
Integer
4
0
0
NON_PLS_TYPE_CD
NON_PLS_TYPE_CD
SmallInteger
2
0
0
NON_PLS_SUBDIV_NM
NON_PLS_SUBDIV_NM
String
50
0
0
NON_PLS_SUBDIV_TRACT
NON_PLS_SUBDIV_TRACT
String
8
0
0
NON_PLS_SUBDIV_BLOCK
NON_PLS_SUBDIV_BLOCK
String
8
0
0
NON_PLS_SUBDIV_LOT
NPLSLOT
String
8
0
0
NON_PLS_SUBDIV_BUILDING
NPLSBUILD
String
8
0
0
NON_PLS_SUBDIV_UNIT
NPLSUNIT
String
8
0
0
NON_PLS_PORTION_TXT
NPLSPRTN
String
240
0
0
AQUATIC_LAND_FLG
AQFLG
String
1
0
0
MARINE_PROTRACT_NM
MP
String
7
0
0
MARINE_PROTRACT_BLOCK_NO
MPBLK
SmallInteger
2
0
0
MARINE_PROTRACT_SUBBLOCK_NO
MPSUBBLK
String
1
0
0
EDIT_DATE
EDITDT
Date
8
0
0
EDIT_STATUS
EDITSTAT
SmallInteger
2
0
0
EDIT_WHO
EDITNM
String
50
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.
20231114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