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.
| 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 
[aut, cre],
Kyle Lochhead [aut],
Josie Hughes [aut],
Patrick Kirby [aut],
Her Majesty the Queen in Right of Canada as represented by the Minister
of the Environment [cph] (Copyright holder for included functions
buildSimList, getLandingsFromTarget, pathsToLines, plotRoads,
projectRoads, rasterizeLine, rasterToLineSegments),
Province of British Columbia [cph] (Copyright holder for included
functions getGraph, lcpList, mstList, shortestPaths,
getClosestRoad, buildSnapRoads) |
| 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 |
Documentation:
| Reference manual: | roads.pdf |
| Vignettes: |
ReconstructRoadHistory Using the grade penalty function roads Package |
Downloads:
| 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_1.1.1.tgz, r-release (x86_64): roads_1.2.0.tgz, r-oldrel (x86_64): roads_1.1.1.tgz |
| Old sources: | roads archive |
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