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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.1 |
rolling linux/jammy R-4.5 | roads_1.2.1.tar.gz |
1.5 MiB |
1.2.1 |
rolling linux/noble R-4.5 | roads_1.2.1.tar.gz |
1.5 MiB |
1.2.1 |
rolling source/ R- | roads_1.2.1.tar.gz |
1.3 MiB |
1.2.1 |
latest linux/jammy R-4.5 | roads_1.2.1.tar.gz |
1.5 MiB |
1.2.1 |
latest linux/noble R-4.5 | roads_1.2.1.tar.gz |
1.5 MiB |
1.2.1 |
latest source/ R- | roads_1.2.1.tar.gz |
1.3 MiB |
1.2.1 |
2026-04-26 source/ R- | roads_1.2.1.tar.gz |
1.3 MiB |
1.2.1 |
2026-04-23 source/ R- | roads_1.2.1.tar.gz |
1.3 MiB |
1.2.1 |
2026-04-09 windows/windows R-4.5 | roads_1.2.1.zip |
1.5 MiB |
1.2.0 |
2025-04-20 source/ R- | roads_1.2.0.tar.gz |
1.3 MiB |