The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 ORCID iD [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_1.2.0.tgz, r-release (x86_64): roads_1.2.0.tgz, r-oldrel (x86_64): roads_1.2.0.tgz
Old sources: roads archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=roads to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.