DESCRIPTION

Package: roads
Title: Road Network Projection
Version: 1.2.0.9000
Authors@R: 
    c(person(given = "Sarah",
           family = "Endicott", 
           role = c("aut", "cre"), 
           email = "sarah.endicott@ec.gc.ca",
           comment = c(ORCID = "0000-0001-9644-5343")),
    person(given = "Kyle",
           family = "Lochhead",
           role = c("aut"),
           email = "Kyle.Lochhead@gov.bc.ca"),
    person(given = "Josie",
           family = "Hughes",
           role = c("aut"),
           email = "josie.hughes@ec.gc.ca"),
    person(given = "Patrick",
           family = "Kirby",
           role = c("aut")),
    person(given="Her Majesty the Queen in Right of Canada as represented by the Minister of the Environment",
           role = c("cph"),
           comment = "Copyright holder for included functions buildSimList, getLandingsFromTarget, pathsToLines, plotRoads, projectRoads, rasterizeLine, rasterToLineSegments"),
    person(given = "Province of British Columbia", role = c("cph"), 
           comment = "Copyright holder for included functions getGraph, lcpList, mstList, shortestPaths, getClosestRoad, buildSnapRoads"))    
Date: 2024-06-26
URL: https://github.com/LandSciTech/roads,
    https://landscitech.github.io/roads/
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.
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
Imports:
    dplyr,
    igraph (>= 2.0.3),
    data.table,
    sf,
    units,
    rlang,
    methods,
    tidyselect,
    terra
RoxygenNote: 7.3.2
Suggests: 
    testthat (>= 2.1.0),
    knitr,
    rmarkdown,
    viridis,
    bench,
    gdistance
VignetteBuilder: knitr
Depends: R (>= 2.10)
Collate: 
    'CLUSexample.R'
    'buildSimList.R'
    'buildSnapRoads.R'
    'demoScen.R'
    'getClosestRoad.R'
    'getDistFromSource.R'
    'getGraph.R'
    'weightFunctions.R'
    'getLandingsFromTarget.R'
    'lcpList.R'
    'mstList.R'
    'pathsToLines.R'
    'projectRoads.R'
    'rasterToLineSegments.R'
    'shortestPaths.R'
    'plotRoads.R'
    'rasterizeLine.R'
    'prepExData.R'
    'roads-package.R'
    'dem_example.R'
BugReports: https://github.com/LandSciTech/roads/issues
Roxygen: list(markdown = TRUE)