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.
| Version: | 1.2.0 | 
| Depends: | R (≥ 2.10) | 
| Imports: | dplyr, igraph (≥ 2.0.3), data.table, sf, units, rlang, methods, tidyselect, terra | 
| Suggests: | testthat (≥ 2.1.0), knitr, rmarkdown, viridis, tmap, bench, gdistance | 
| Published: | 2024-06-27 | 
| DOI: | 10.32614/CRAN.package.roads | 
| Author: | Sarah Endicott | 
| Maintainer: | Sarah Endicott <sarah.endicott at ec.gc.ca> | 
| BugReports: | https://github.com/LandSciTech/roads/issues | 
| License: | Apache License (≥ 2) | 
| URL: | https://github.com/LandSciTech/roads, https://landscitech.github.io/roads/ | 
| NeedsCompilation: | no | 
| Materials: | README, NEWS | 
| CRAN checks: | roads results | 
| Reference manual: | roads.html , roads.pdf | 
| Vignettes: | ReconstructRoadHistory (source, R code) Using the grade penalty function (source, R code) roads Package (source, R code) | 
| Package source: | roads_1.2.0.tar.gz | 
| Windows binaries: | r-devel: roads_1.2.0.zip, r-release: roads_1.2.0.zip, r-oldrel: roads_1.2.0.zip | 
| macOS binaries: | r-release (arm64): roads_1.2.0.tgz, r-oldrel (arm64): roads_1.2.0.tgz, r-release (x86_64): roads_1.2.0.tgz, r-oldrel (x86_64): roads_1.2.0.tgz | 
| Old sources: | roads archive | 
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