20210915
15194100
1.0
FALSE
One_Way_Arrows
002
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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/2.6.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</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>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20210915
15194100
20210915
15194100
Esri ArcGIS 12.6.0.24783
One_Way_Arrows
<div><font size='4'>This layer displays the one way directional arrows for traffic within Harrisburg. This is not a layer of the individual signage. </font></div><div><font size='4'><br /></font></div><font size='4'>Note: This is an updated version of the one way directional arrows polygon layer. This layer was created from the original <a href='https://cohbg.maps.arcgis.com/home/item.html?id=bccf3430939e4a30b20522557bffb1d6' target='_blank' rel='nofollow ugc noopener noreferrer'>One Ways Arrows feature layer</a>. The older version included features that were too large. In order to decrease the size of the features, I exported these into a new polygon layer and decreased the size of all the polygons. </font><div><font size='4'><br /></font></div><div><font size='4'>No source is available for this layer<br /></font><div><div><font size='4'><br /></font></div><div><font size='4'><br /></font><div><font size='4'><br /></font></div><div><br /></div></div></div></div>
one wayarrowsdirectionsdirectionone way arrows
Updated one way arrow layers. This is a polygon layer is a copy of the original One Way Arrows layer.
<p><em><span style='font-family:Calibri, sans-serif; color:black; background:white; font-style:normal;'><font size='4'>The geographic
information systems (GIS) material is made available as a public service. Maps
and data are to be used for reference purposes only. The City is not
responsible for inaccuracies, damages or other liabilities that may arise from
the use of this data. Files are provided "as is" and the use assumes
the entire risk as to their quality and performance, therefore all information
should be independently verified. GIS is a public domain and may be copied
without permission.</font></span></em></p>
File Geodatabase Feature Class
dataset
EPSG
8.8(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
One_Way_Arrows
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.
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.
20210915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