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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.
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Package details |
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| Author | Sarah Endicott [aut, cre] (<https://orcid.org/0000-0001-9644-5343>), 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@ec.gc.ca> |
| License | Apache License (>= 2) |
| Version | 1.2.0 |
| URL | https://github.com/LandSciTech/roads https://landscitech.github.io/roads/ |
| Package repository | View on CRAN |
| Installation |
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