Package: roads 1.2.0.9000
Sarah Endicott
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.
Authors:
roads_1.2.0.9000.tar.gz
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roads_1.2.0.9000.tgz(r-4.4-any)roads_1.2.0.9000.tgz(r-4.3-any)
roads_1.2.0.9000.tar.gz(r-4.5-noble)roads_1.2.0.9000.tar.gz(r-4.4-noble)
roads_1.2.0.9000.tgz(r-4.4-emscripten)roads_1.2.0.9000.tgz(r-4.3-emscripten)
roads.pdf |roads.html✨
roads/json (API)
NEWS
# Install 'roads' in R: |
install.packages('roads', repos = c('https://landscitech.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/landscitech/roads/issues
- CLUSexample - Data from the CLUS example
- dem_example - Grade penalty example data
- demoScen - Demonstration set of 10 input scenarios
Last updated 3 months agofrom:7ba9be4528. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 25 2024 |
R-4.5-win | OK | Oct 25 2024 |
R-4.5-linux | OK | Oct 25 2024 |
R-4.4-win | OK | Oct 25 2024 |
R-4.4-mac | OK | Oct 25 2024 |
R-4.3-win | OK | Oct 25 2024 |
R-4.3-mac | OK | Oct 25 2024 |
Exports:getDistFromSourcegetLandingsFromTargetgradePenaltyFnplotRoadsprepExDataprojectRoadsrasterizeLinerasterToLineSegmentssimpleCostFn
Dependencies:classclassIntclicpp11data.tableDBIdplyre1071fansigenericsglueigraphKernSmoothlatticelifecyclemagrittrMASSMatrixpillarpkgconfigproxyR6Rcpprlangs2sfterratibbletidyselectunitsutf8vctrswithrwk
Reconstruct road development history
Rendered fromReconstructRoadHistory.Rmd
usingknitr::rmarkdown
on Oct 25 2024.Last update: 2024-03-26
Started: 2022-10-31
roads Package
Rendered fromroads-vignette.Rmd
usingknitr::rmarkdown
on Oct 25 2024.Last update: 2024-06-25
Started: 2021-11-09
Using the grade penalty function
Rendered fromgrade-penalty.Rmd
usingknitr::rmarkdown
on Oct 25 2024.Last update: 2024-06-26
Started: 2024-05-16
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Data from the CLUS example | CLUSexample |
Grade penalty example data | dem_example |
Demonstration set of 10 input scenarios | demoScen |
Get landing target points within harvest blocks | getLandingsFromTarget |
Grade penalty edge weight function | gradePenaltyFn |
Plot projected roads | plotRoads |
Prepare example data | prepExData |
Project road network | projectRoads projectRoads,ANY,ANY,ANY,ANY,ANY,ANY,ANY,ANY,list-method projectRoads,ANY,ANY,ANY,ANY,ANY,ANY,ANY,ANY,missing-method |
Convert raster to lines | rasterToLineSegments |
Simple cost edge weight function | simpleCostFn |