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: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], Province of British Columbia [cph]

roads_1.2.0.9000.tar.gz
roads_1.2.0.9000.zip(r-4.5)roads_1.2.0.9000.zip(r-4.4)roads_1.2.0.9000.zip(r-4.3)
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

Peer review:

Bug tracker:https://github.com/landscitech/roads/issues

On CRAN:

9 exports 4 stars 1.87 score 34 dependencies 29 scripts 257 downloads

Last updated 23 days agofrom:7ba9be4528. Checks:OK: 7. Indexed: yes.

Exports:getDistFromSourcegetLandingsFromTargetgradePenaltyFnplotRoadsprepExDataprojectRoadsrasterizeLinerasterToLineSegmentssimpleCostFn

Dependencies:classclassIntclicpp11data.tableDBIdplyre1071fansigenericsglueigraphKernSmoothlatticelifecyclemagrittrMASSMatrixpillarpkgconfigproxyR6Rcpprlangs2sfterratibbletidyselectunitsutf8vctrswithrwk