20220126
08092200
1.0
FALSE
Patches_DLA_ForReview_April2022
0.000
1922193.463772
2144437.113772
677939.757174
971246.257174
1
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_Lambert_Conformal_Conic
<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/2.9.0'><WKT>PROJCS["NAD_1983_Lambert_Conformal_Conic",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",2000000.002616666],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-79.0],PARAMETER["Standard_Parallel_1",34.33333333333334],PARAMETER["Standard_Parallel_2",36.16666666666666],PARAMETER["Latitude_Of_Origin",33.75],UNIT["Foot_US",0.3048006096012192]]</WKT><XOrigin>-121841900</XOrigin><YOrigin>-93659000</YOrigin><XYScale>3048.0060960121918</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem>
20220426
22212200
20220728
20425800
150000000
5000
ItemDescription
dataset
20220728
File Geodatabase Feature Class
This data set is intended as a resource for conservation planning purposes through the use of a Geographic Information System (GIS).
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Habitat Patches layer is part of the Upper Neuse-New Hope Landscape Habitat Connectivity Network, a GIS model developed initially for the Eno-New Hope Landscape Conservation Project and expanded and updated for the Durham County Open Space Program to include the entirety of Durham County. Polygons in the Habitat Patches layer represent areas modeled as habitat suitable for use by development-sensitive terrestrial wildlife species. The Habitat Patches layer should be interpreted only in conjunction with the Corridors layer, which is also part of the Upper Neuse-New Hope Landscape Habitat Connectivity Network data set. The layer is intended to be used as an aid to conservation planning only. Current habitat conditions should be verified by biological surveys.</SPAN><SPAN STYLE="font-size:14pt"> </SPAN><SPAN>Visit </SPAN><A href="https://www.dconc.gov:443/county-departments/departments-a-e/engineering-and-environmental-services/open-space-and-real-estate-division/durham-county-open-space-program" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;">the Durham County Open Space Program website</SPAN></A><SPAN> for more information. Visit </SPAN><A href="https://connectedconservationnc.org:443/" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;">the Eno-New Hope Landscape Conservation Group website</SPAN></A><SPAN> for background information on the initial phase of this GIS project.</SPAN></P></DIV></DIV></DIV>
The Durham County Open Space Program and the Eno-New Hope Landscape Conservation Group, North Carolina
Habitat Patches - Upper Neuse-New Hope Landscape Habitat Connectivity Network
2020-06-03T00:00:00
<DIV STYLE="text-align:Left;"><DIV><DIV><DIV STYLE="font-size:12pt"><P><SPAN>The Upper Neuse-New Hope Landscape Habitat Connectivity Network data are provided for use in research, education, environmental review, assessment, and project planning.</SPAN></P><P><SPAN>The polygon boundaries in this data set were developed from a wide variety of data sources, including federal and state agencies, local governments, and land trusts, and each data set has its own set of locational and classification errors. Because of these inaccuracies, these data are intended to be used as an aid to conservation planning only. These data are not intended to indicate the authoritative location of property boundaries, shape or contour of the earth, or fixed works. These data are not a survey and do not meet the minimum accuracy standards of a Land Information System/Geographic Information System Survey in North Carolina (21 NCAC 56.1608). Inclusion of an area in this data set in no way implies that the area is open to the public.</SPAN></P><P><SPAN>The Upper Neuse-New Hope Landscape Habitat Connectivity Network data require some understanding of the project methods and definitions for proper use and analysis.</SPAN><SPAN> Please visit </SPAN><A href="https://www.dconc.gov:443/county-departments/departments-a-e/engineering-and-environmental-services/open-space-and-real-estate-division/durham-county-open-space-program" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;">the Durham County Open Space Program website</SPAN></A><SPAN> and </SPAN><A href="https://connectedconservationnc.org:443/" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;">the Eno-New Hope Landscape Conservation Group website</SPAN></A><SPAN> to access the 2022 and 2019 project reports, respectively. Questions about these data should be directed to Durham County Open Space Program staff (Celeste Burns, cburns@dconc.gov).</SPAN></P><P><SPAN>If the data provided are used in reports, papers, maps, or other publications, please cite both the Durham County Open Space Program and the Eno-New Hope Landscape Conservation Group as the data source according to the suggested citation provided below. As a courtesy, please notify both the Durham County Open Space Program and the Eno-New Hope Landscape Conservation Group if the data are used in projects or publications, via contact information on the project webpage. Suggested citation:</SPAN></P><P><SPAN>Durham County Open Space Program and Eno-New Hope Landscape Conservation Group. 2022. Upper Neuse-New Hope Landscape Habitat Connectivity Network Geographic Information System (GIS) data. Available from </SPAN><SPAN STYLE="font-size:9pt"> </SPAN><A href="https://www.dconc.gov/county-departments/departments-a-e/engineering-and-environmental-services/open-space-and-real-estate-division/durham-county-open-space-program" STYLE="text-decoration:underline;"><SPAN>https://www.dconc.gov/county-departments/departments-a-e/engineering-and-environmental-services/open-space-and-real-estate-division/durham-county-open-space-program</SPAN></A><SPAN> and </SPAN><A href="https://connectedconservationnc.org" STYLE="text-decoration:underline;"><SPAN>https://connectedconservationnc.org</SPAN></A><SPAN STYLE="font-size:8pt">.</SPAN><SPAN> (Accessed: <date>).</SPAN></P></DIV></DIV></DIV></DIV>
Esri ArcGIS 12.9.0.32739
1
-79.264409
-78.509163
36.418474
35.611777
Upper Neuse-New Hope Landscape Habitat Connectivity Network
4744
EPSG
6.12(9.0.0)
Patches_DLA_ForReview_April2022
Feature Class
4744
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.
Max_RelEBC
Max_RelEBC
Double
8
0
0
HabitatType_Guild
HabitatType/Guild
String
50
0
0
Priority_R
Priority_R
String
254
0
0
FeatureType
FeatureType
String
50
0
0
Priority
ConservationPriority
String
255
0
0
PatchArea_ha
PatchArea_ha
Double
8
0
0
PatchID
PatchID
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.
Simple
FALSE
4744
TRUE
FALSE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