Package: roads 1.2.0

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]

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roads/json (API)
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Bug tracker:https://github.com/landscitech/roads/issues

9 exports 0.00 score 34 dependencies 203 downloads

Last updated 8 days agofrom:b00efa5fcf

Exports:getDistFromSourcegetLandingsFromTargetgradePenaltyFnplotRoadsprepExDataprojectRoadsrasterizeLinerasterToLineSegmentssimpleCostFn

Dependencies:classclassIntclicpp11data.tableDBIdplyre1071fansigenericsglueigraphKernSmoothlatticelifecyclemagrittrMASSMatrixpillarpkgconfigproxyR6Rcpprlangs2sfterratibbletidyselectunitsutf8vctrswithrwk