Road Density Analysis for Environmental Sample Plots

Road and plot data were used for a geospatial analysis example in a 2018 Open Source Geospatial Research and Education Symposium publication. The example calculates road densities near sample plot locations using Python and Jupyter Notebook. The dataset was contributed by ENVIDAT, an environmental data portal, for the 2018 OGRS symposium.

Use Cases

• Calculate road density metrics around manually generated sample plot point locations.
• Perform proximity analysis between OpenStreetMap-derived road network features and environmental plot data.
• Replicate the 2018 OGRS publication's methodology for geospatial analysis in Jupyter Notebooks using Python.

Strengths

• Data is associated with a peer-reviewed symposium publication from 2018.
• Includes two distinct geospatial data types: road network data and sample plot point data.

Limitations

• The sample size of manually generated plot points is unknown and could be small.
• Data is from 2018 and may not reflect current road networks or environmental conditions.

Provenance

Source

ENVIDAT Environmental Data Portal

Collection Method

Road data extracted from OpenStreetMap; sample plot point data generated manually.

Freshness

2018-01-01