leastcostpath (version 1.7.4)

create_FETE_lcps: Calculate least cost paths from each location to all other locations.

Description

Calculates least cost paths from each location to all other locations (i.e. From Everywhere To Everywhere (FETE)). This is based on the method proposed by White and Barber (2012).

Usage

create_FETE_lcps(
  cost_surface,
  locations,
  cost_distance = FALSE,
  parallel = FALSE
)

Arguments

cost_surface

TransitionLayer (gdistance package). Cost surface to be used in Least Cost Path calculation

locations

SpatialPoints* (sp package). Locations to calculate Least Cost Paths from and to

cost_distance

logical. if TRUE computes total accumulated cost for each Least Cost Path. Default is FALSE

parallel

logical. if TRUE the Least Cost Paths will be calculated in parallel. Number of Parallel socket clusters is total number of cores available minus 1. Default is FALSE

Value

SpatialLinesDataFrame (sp package). The resultant object contains least cost paths calculated from each location to all other locations

References

White, DA. Barber, SB. (2012). Geospatial modeling of pedestrian transportation networks: a case study from precolumbian Oaxaca, Mexico. J Archaeol Sci 39:2684-2696. https://doi.org/10.1016/j.jas.2012.04.017

Examples

# NOT RUN {
r <- raster::raster(nrow=50, ncol=50,  xmn=0, xmx=50, ymn=0, ymx=50,
crs='+proj=utm')

r[] <- stats::runif(1:length(r))

slope_cs <- create_slope_cs(r, cost_function = 'tobler')

locs <- sp::spsample(as(raster::extent(r), 'SpatialPolygons'),n=5,'regular')

lcp_network <- create_FETE_lcps(cost_surface = slope_cs, locations = locs,
cost_distance = FALSE, parallel = FALSE)
# }