hf_costDistance: Least-cost distance between points

In kbvernon/rHike: Functions for Computing Hiking Efficiency and Velocity

Description

A generalized method for calculating the "shortest" or least-cost distance between multiple start and end points.

Usage

hf_costDistance(x, origin, goal, fun = function(x) 1/mean(x))

Arguments

x	A RasterLayer with velocity or efficiency values.
origin	A POINT object from package sf specifying start locations
goal	A POINT object from package sf specifying end locations
fun	A function to calculate transition weights from the raster.

Value

A tibble of least-cost distance

Examples

## Not run: 

library(raster)
library(sf)

dem <- raster(system.file("extdata/slc.tif", package = "rHike"))

slope <- hf_slope(dem)

velocity <- hf_velocity(slope, hf = "campbell", decile = 30)

start_points <- st_sf(id = 1:3,
                      geometry = st_sfc(st_point(c(424350, 4514200)),
                                        st_point(c(426000, 4515000)),
                                        st_point(c(429000, 4516500)),
                                        crs = 26912))

end_points <- st_sf(id = 1:2,
                    geometry = st_sfc(st_point(c(426200, 4516400)),
                                      st_point(c(427600, 4515600)),
                                      crs = 26912))

cost_distance <- hf_costDistance(velocity, start_points, end_points)

cost_distance


## End(Not run)

kbvernon/rHike documentation built on May 29, 2020, 7:22 p.m.