20100602
18061600
FALSE
20240610
11022600
20240610
11022600
Published
{CBDDA573-7775-4E1D-B344-F2D9AA717A43}
MISC_TRANSPORT_TIGER_2005v1
356675.113319
792786.573319
3652609.818057
4041998.808057
1
002
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_15N
<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/10.8'><WKT>PROJCS["NAD_1983_UTM_Zone_15N",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["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-93.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26915]]</WKT><XOrigin>-10158462.226681005</XOrigin><YOrigin>-9998099.9919429999</YOrigin><XYScale>6400</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.02</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26915</WKID><LatestWKID>26915</LatestWKID></ProjectedCoordinateSystem>
1.0
ISO19139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=
Arkansas Geographic Information Systems Office
State of Arkansas
501-682-2676
501-682-6077
1 Capitol Mall Suite 6D
Little Rock
AR
72201
communication@arkansasgisoffice.org
20170112
ArcGIS Metadata
1.0
Arkansas GIS Office
State of Arkansas
501-682-2929
1 Capitol Mall, Suite 6D
Little Rock
AR
72212
US
communication@arkansasgisoffice.org
https://gis.arkansas.gov/arcgis/rest/services/FEATURESERVICES/Transportation/FeatureServer/11
http://gis.arkansas.gov/
Feature Class
asdi.transportation.MISC_TRANSPORT_TIGER_2005v1
vector digital data
Arkansas Geographic Information Systems Office
State of Arkansas
501-682-2676
501-682-6077
1 Capitol Mall Suite 6D
Little Rock
AR
72201
communication@arkansasgisoffice.org
See access and use constraints information.
Esri ArcGIS 10.3.0.4322
-94.600606
-89.732084
32.972616
36.523356
1
-94.600606
-89.732084
36.523356
32.972616
0
asdi.transportation.MISC_TRANSPORT_TIGER_2005v1
Feature Class
0
FNODE
FNODE
Double
8
38
8
ZIPL
ZIPL
String
5
0
0
FRADDR
FRADDR
Double
8
38
8
FENAME
FENAME
String
30
0
0
FOVRUNDR
FOVRUNDR
String
1
0
0
TOVRUNDR
TOVRUNDR
String
1
0
0
CFCC
CFCC
String
3
0
0
TOADDR
TOADDR
Double
8
38
8
FEDIRP
FEDIRP
String
2
0
0
FRADDL
FRADDL
Double
8
38
8
TNODE
TNODE
Double
8
38
8
OBJECTID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
10
0
LENGTH
LENGTH
Double
8
38
8
TRACTL
TRACTL
String
6
0
0
PLACER
PLACER
String
5
0
0
PLACEL
PLACEL
String
5
0
0
COUSUBL
COUSUBL
String
5
0
0
SE_ANNO_CAD_DATA
SE_ANNO_CAD_DATA
Blob
0
0
0
SHAPE
Feature geometry.
ESRI
Coordinates defining the features.
Shape
Geometry
4
0
0
BLOCKL
BLOCKL
String
4
0
0
TOIADDR
TOIADDR
String
1
0
0
STATEL
STATEL
String
2
0
0
AIHHTLR
AIHHTLR
String
1
0
0
AIHHTLI
AIHHTLI
String
1
0
0
AIANHHFPR
AIANHHFPR
String
5
0
0
CFCC2
CFCC2
String
2
0
0
SUBMCDR
SUBMCDR
String
5
0
0
COUSUBR
COUSUBR
String
5
0
0
COUNTYR
COUNTYR
String
3
0
0
BLOCKR
BLOCKR
String
4
0
0
TLID
TLID
Double
8
38
8
STATER
STATER
String
2
0
0
CENSUS2
CENSUS2
String
1
0
0
CENSUS1
CENSUS1
String
1
0
0
TOIADDL
TOIADDL
String
1
0
0
FRIADDL
FRIADDL
String
1
0
0
SOURCE
SOURCE
String
1
0
0
ZIPR
ZIPR
String
5
0
0
FEDIRS
FEDIRS
String
2
0
0
FETYPE
FETYPE
String
4
0
0
TOADDL
TOADDL
Double
8
38
8
SUBMCDL
SUBMCDL
String
5
0
0
TRACTR
TRACTR
String
6
0
0
FRIADDR
FRIADDR
String
1
0
0
CFCC1
CFCC1
String
1
0
0
AIANHHFPL
AIANHHFPL
String
5
0
0
COUNTYL
COUNTYL
String
3
0
0
st_length(shape)
st_length(shape)
Double
0
0
0
The TIGER/Line files contain data describing three major types of features/entities; Line Features - (1) Roads (2) Railroads (3) Hydrography (4) Miscellaneous transportation features and selected power lines and pipe lines (5) Legal (governmental unit) and statistical boundaries Landmark Features - (1) Point landmarks, e.g., schools and churches; sporadic coverage added on an as-needed basis (2) Area landmarks, e.g., Parks and cemeteries; sporadic coverage added on an as-needed basis Polygon features - (1) Geographic entity codes for areas used to tabulate the Census 2000 census statistical data and governmental unit boundaries legally in effect as of the latest Boundary and Annexation Survey (BAS) (2) Locations of area landmarks The line features and polygon information form the majority of data in the TIGER/Line files. Some of the data/attributes describing the lines include coordinates, feature identifiers (names), CFCCs (used to identify the most noticeable characteristic of a feature), address ranges, and geographic entity codes. The Census Bureau includes landmark features on an as-needed-basis and has made no attempt to ensure that all instances of a particular landmark feature were included. The TIGER/Line files contain point and area labels that describe landmark features and provide locational reference. Area landmarks consist of a feature name or label and feature Landmarks may overlap or refer to the same set of polygons. The Census TIGER database uses collections of spatial objects (points, lines, and polygons) to model or describe real-world geography. The Census Bureau uses these spatial objects to represent features such as streets, rivers, and political boundaries and assigns attributes to these features to identify and describe specific features such as the 500 block of Market Street in Philadelphia, Pennsylvania.
U.S. Census Bureau, TIGER/Line files, 2005 First Edition Technical Documentation. The TIGER/Line documentation defines the terms and definitions used within the files.
dataset
EPSG
6.11(3.0.1)
Simple
FALSE
0
TRUE
FALSE