{18EC9682-7C36-4CEF-9AE4-EF2D1750ABF9}
20101020
09401500
FALSE
20260303
11225000
20260303
11225000
TIF_Districts2026
002
file://\\ccfs2\cob_pub\TS-CMC Share\GIS\Madelyne\EconDev\EconDev.gdb
Local Area Network
2168255.370063
2530000.000054
240797.669905
506212.530052
1
Projected
GCS_North_American_1983
Linear Unit: Foot (0.304800)
NAD_1983_StatePlane_South_Carolina_FIPS_3900_Feet_Intl
<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/3.2.0'><WKT>PROJCS["NAD_1983_StatePlane_South_Carolina_FIPS_3900_Feet_Intl",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",2000000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-81.0],PARAMETER["Standard_Parallel_1",32.5],PARAMETER["Standard_Parallel_2",34.83333333333334],PARAMETER["Latitude_Of_Origin",31.83333333333333],UNIT["Foot",0.3048],AUTHORITY["EPSG",2273]]</WKT><XOrigin>-122907599.99995001</XOrigin><YOrigin>-92800699.999904603</YOrigin><XYScale>4132.1601789493898</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.00048400834270381652</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2273</WKID><LatestWKID>2273</LatestWKID></ProjectedCoordinateSystem>
FeatureClassToFeatureClass "Database Connections\gisdata@ccgisdb.sde\FEATURES.GIS_Parcels\FEATURES.P_poly_parcel" "Database Connections\NEW_gisccdb_data.sde\FEATURES.SDE.GIS_PARCELS" P_POLY_PARCEL # "PID "PID" true false false 15 Text 0 0 ,First,#,Database Connections\gisdata@ccgisdb.sde\FEATURES.GIS_Parcels\FEATURES.P_poly_parcel,PID,-1,-1;GPIN "GPIN" true false false 16 Text 0 0 ,First,#,Database Connections\gisdata@ccgisdb.sde\FEATURES.GIS_Parcels\FEATURES.P_poly_parcel,GPIN,-1,-1;PRCCD "PRCCD" true false false 4 Long 0 10 ,First,#,Database Connections\gisdata@ccgisdb.sde\FEATURES.GIS_Parcels\FEATURES.P_poly_parcel,PRCCD,-1,-1;ACRES_CAL "ACRES_CAL" true true false 8 Double 8 38 ,First,#,Database Connections\gisdata@ccgisdb.sde\FEATURES.GIS_Parcels\FEATURES.P_poly_parcel,ACRES_CAL,-1,-1" #
AddIndex "Database Connections\features.sde\FEATURES.SDE.GIS_PARCELS\FEATURES.SDE.P_POLY_PARCEL" PID pid NON_UNIQUE NON_ASCENDING
AddRelate "PARCEL BOUNDARIES" PID FEATURES.SDE.CAMA PARCEL_ID Relate1 "One to many"
RemoveRelate "PARCEL BOUNDARIES" #
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>FEATURES.SDE.GIS_PARCELS</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e684c7a7943546e347343584d474b7865644475534e56554642414c6347394931493673684a5749766e6e4e493d2a00;ENCRYPTED_PASSWORD=00022e6834787957336c7842632b53487679556f334c5751754c535562626c7069614c564b2f2b3131446a675454773d2a00;SERVER=gisccdb;INSTANCE=sde:sqlserver:gisccdb;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=gisccdb;DATABASE=FEATURES;USER=sde;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>FEATURES.SDE.P_POLY_PARCEL</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><DeleteField><field_name>GPIN</field_name></DeleteField></workflow></operationSequence>
ExportFeatures TIF "K:\TS-CMC Share\GIS\Madelyne\EconDev\EconDev.gdb\TIF_Districts2026" # NOT_USE_ALIAS "PID "PID" true true false 15 Text 0 0,First,#,TIF,FEATURES.SDE.P_POLY_PARCEL.PID,0,14,TIF,FEATURES.SDE.P_POLY_PARCEL.PID,0,14;GlobalID "GlobalID" false false true 38 GlobalID 0 0,First,#,TIF,FEATURES.SDE.P_POLY_PARCEL.GlobalID,-1,-1,TIF,FEATURES.SDE.P_POLY_PARCEL.GlobalID,-1,-1;TIFDistrict "TIFDistrict" true true false 250 Text 0 0,First,#,TIF,FEATURES.SDE.CAMA.TIFDistrict,0,249,TIF,FEATURES.SDE.CAMA.TIFDistrict,0,249" #
150000000
5000
1.0
ItemDescription
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.4000
en
REQUIRED: A brief narrative summary of the data set.
REQUIRED: A summary of the intentions with which the data set was developed.
REQUIRED: The name of an organization or individual that developed the data set.
REQUIRED: The date when the data set is published or otherwise made available for release.
FEATURES.P_poly_parcel
FEATURES.P_poly_parcel
vector digital data
Server=ccgisdb; Service=5325; User=features; Version=SDE.DEFAULT
REQUIRED: The basis on which the time period of content information is determined.
REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground.
REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed.
-80.454324
-79.266843
33.223417
32.483002
2168255.370063
2530000.000055
240797.669905
506212.530052
REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.
REQUIRED: Common-use word or phrase used to describe the subject of the data set.
REQUIRED: Restrictions and legal prerequisites for accessing the data set.
REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted.
SDE Feature Class
Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.2.2.49743
Charleston County TIF Districts
2168255.370063
2530000.000055
506212.530052
240797.669905
1
-80.454324
-79.266843
33.223417
32.483002
1
1
-80.454324
-79.266843
33.223417
32.483002
This layer represents the TIF Districts in Charleston County. Updated on 4-3-24. Data may not be shared without permission.
CCGIS
TIF Districts
Tax
REQUIRED: A brief narrative summary of the data set.
en
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
REQUIRED: The person responsible for the metadata information.
REQUIRED: The organization responsible for the metadata information.
REQUIRED: The mailing and/or physical address for the organization or individual.
REQUIRED: The city of the address.
REQUIRED: The state or province of the address.
REQUIRED: The ZIP or other postal code of the address.
REQUIRED: The telephone number by which individuals can speak to the organization or individual.
20110923
ISO 19115 Geographic Information - Metadata
DIS_ESRI1.0
dataset
Downloadable Data
002
Server=ccgisdb; Service=5325; User=features; Version=SDE.DEFAULT
ArcSDE Connection
SDE Feature Class
File Geodatabase Feature Class
Vector
Simple
FALSE
0
TRUE
FALSE
GCS_North_American_1983
NAD_1983_StatePlane_South_Carolina_FIPS_3900_Feet_Intl
coordinate pair
international feet
0.000242
0.000242
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.257222
Explicit elevation coordinate included with horizontal coordinates
0.000003
NAD_1983_StatePlane_South_Carolina_FIPS_3900_Feet_Intl
EPSG
6.9(9.0.0)
0
TIF_Districts2026
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
PID
PID
String
15
0
0
SHAPE
Shape
Geometry
0
0
0
Feature geometry.
ESRI
Coordinates defining the features.
GlobalID
GlobalID
GlobalID
38
0
0
TIFDistrict
TIFDistrict
String
250
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.
FEATURES.C_REL_PARCEL_PLACE
Relationship
FEATURES.C_REL_PARCEL_XREF_ADDR
Relationship
FEATURES.C_REL_PARCEL_XREF_BUILDING
Relationship
20260303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