roads-package: roads: Road Network Projection

In 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 'weightRaster' and a 'weightFunction'; options include the average of adjacent 'weightRaster' 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 timesteps without rebuilding a graph at each timestep.

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

roads documentation built on June 27, 2024, 5:07 p.m.