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

Linking:

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