National Overview Road Metrics - Euclidean Distance (NORM-ED) to road (m), Utah

Mar 10, 2011
This state-organized dataset quantifies distance to the nearest road in the Lower 48 states of the United States using a set of selected colors. Distance To Roads (DTR) data are from the USGS National Overview Road Metrics - Euclidean Distance dataset, which covers the United States at 30-meter resolution. Euclidean distance (ED) is the straight line distance between two points. NORM-ED is the first national monitoring indicator developed specifically for evaluation of the ecological costs of the nation’s road network. DTR is a simple first indicator of landscape vulnerability to road-induced ecological change.
Data Provided By:
U.S. Geological Survey (USGS)
Content date:
Title: National Overview Road Metrics - Euclidean Distance (NORM-ED) Lower 48 States
Credits: U.S. Geological Survey (USGS)
Publication Date: 2004
Publisher: U.S. Geological Survey, Denver, CO
Spatial Resolution:
30-meter grid
Contact Organization:
USGS Fort Collins Science Center
Contact Person(s):
Use Constraints:
None. Acknowledgment of the U.S. Geological Survey would be appreciated in products derived from these data. Visit for more information.
Layer Type:
Currently Visible Layer:
All Layer Options:
Layers in this dataset are based on combinations of the following options. You may choose from these options to select a specific layer on the map page.
Spatial Resolution:
Other Information:
Time Period:
Layer Accuracy:
Attribute Accuracy:
FGDC Standard Metadata XML
Click here to see the full FGDC XML file that was created in Data Basin for this layer.
Original Metadata XML
Click here to see the full XML file that was originally uploaded with this layer.
This dataset is visible to everyone
Dataset Type:
Layer Package
Included in 1 Private Gallery

About the Uploader

Conservation Biology Institute

The Conservation Biology Institute (CBI) provides scientific expertise to support the conservation and recovery of biological diversity in its natural state through applied research, education, planning, and community service.