20190225
10172200
1.0
FALSE
Project D:\1_PRACE\PROJEKTY\Ekofizjografia_Wawa\__mapy\ecosystem_services\redukcja_halasu_2000.shp D:\1_PRACE\PROJEKTY\Ekofizjografia_Wawa\__mapy\ecosystem_services\redukcja_halasu.shp PROJCS['ETRS_1989_Poland_CS92',GEOGCS['GCS_ETRS_1989',DATUM['D_ETRS_1989',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',-5300000.0],PARAMETER['Central_Meridian',19.0],PARAMETER['Scale_Factor',0.9993],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]] # PROJCS['ETRS_1989_Poland_CS2000_Zone_7',GEOGCS['GCS_ETRS_1989',DATUM['D_ETRS_1989',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',7500000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',21.0],PARAMETER['Scale_Factor',0.999923],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]] NO_PRESERVE_SHAPE # NO_VERTICAL
redukcja_halasu
002
file://\\GLAB1\D$\1_PRACE\PROJEKTY\Ekofizjografia_Wawa\__mapy\Wynikowe\Ekofizjografia_SGGW.gdb
Local Area Network
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_Poland_CS92
<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/10.6'><WKT>PROJCS["ETRS_1989_Poland_CS92",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",-5300000.0],PARAMETER["Central_Meridian",19.0],PARAMETER["Scale_Factor",0.9993],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",2180]]</WKT><XOrigin>-5119200</XOrigin><YOrigin>-15295100</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>2180</WKID><LatestWKID>2180</LatestWKID></ProjectedCoordinateSystem>
20181029
10163700
20181029
10163700
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270
atlas_eko_us_ekos_redukcja_halasu
atlas
ekofizjograficzny
usługi
ekosystemowe
redukcja
hałas
Atlas ekofizjograficzny - usługi ekosystemowe - Redukcja hałasu
File Geodatabase Feature Class
dataset
EPSG
6.12(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
redukcja_halasu
Feature Class
0
OBJECTID
FID
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.
Id
Id
Integer
4
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.
20181029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==