roads
Road Network Projection
Iterative least cost path and minimum spanning tree methods for projecting forest road networks. The methods connect a set of target points to an existing road network using 'igraph' https://igraph.org to identify least cost routes. The cost of constructing a road segment between adjacent pixels is determined by a user supplied weight raster and a weight function; options include the average of adjacent weight raster values, and a function of the elevation differences between adjacent cells that penalizes steep grades. These road network projection methods are intended for integration into R workflows and modelling frameworks used for forecasting forest change, and can be applied over multiple time-steps without rebuilding a graph at each time-step.
- Version1.2.0
- R version≥ 2.10
- LicenseApache License (≥ 2)
- Needs compilation?No
- Last release06/27/2024
Documentation
Team
Sarah Endicott
Province of British Columbia
Show author detailsRolesCopyright holderKyle Lochhead
Show author detailsRolesAuthorJosie Hughes
Show author detailsRolesAuthorPatrick Kirby
Show author detailsRolesAuthorHer Majesty the Queen in Right of Canada as represented by the Minister of the Environment
Show author detailsRolesCopyright holder
Insights
Last 30 days
This package has been downloaded 231 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 3,024 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 39 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports8 packages
- Suggests7 packages