Movatterモバイル変換


[0]ホーム

URL:


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 EndicottORCID 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.html ,roads.pdf
Vignettes:ReconstructRoadHistory (source,R code)
Using the grade penalty function (source,R code)
roads Package (source,R code)

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 formhttps://CRAN.R-project.org/package=roadsto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp