roads-package: roads: Road Network Projection

In LandSciTech/roads: Road Network Projection

roads: Road Network Projection

Description

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.

Author(s)

Maintainer: Sarah Endicott [e-mail] (ORCID)

Authors:

• Kyle Lochhead [e-mail]

• Josie Hughes [e-mail]

• Patrick Kirby

Other contributors:

• Her Majesty the Queen in Right of Canada as represented by the Minister of the Environment (Copyright holder for included functions buildSimList, getLandingsFromTarget, pathsToLines, plotRoads, projectRoads, rasterizeLine, rasterToLineSegments) [copyright holder]

• Province of British Columbia (Copyright holder for included functions getGraph, lcpList, mstList, shortestPaths, getClosestRoad, buildSnapRoads) [copyright holder]

See Also

Useful links:

• https://github.com/LandSciTech/roads

• https://landscitech.github.io/roads/

• Report bugs at https://github.com/LandSciTech/roads/issues

LandSciTech/roads documentation built on Aug. 27, 2024, 7:20 p.m.