spatialEco (version 2.0-2)

rasterDistance: Raster Distance

Description

Calculates the Euclidean distance of a defined raster class and all the other cells in a taster

Usage

rasterDistance(x, y, scale = FALSE)

Value

A terra SpatRast raster representing distances

Arguments

x

A terra SpatRast or sf class object

y

Value(s) in x to to calculate distance to

scale

(FALSE/TRUE) Perform a row standardization on results

Author

Jeffrey S. Evans <[e-mail]>

Details

This replicates the terra distance function but uses the Arya & Mount Approximate Near Neighbor (ANN) C++ library for calculating distances. Where this results in a notable increase in performance it is not memory safe, needing to read in the entire raster and does not use the GeographicLib (Karney, 2013) spheroid distance method for geographic data.

References

Arya S., Mount D. M., Netanyahu N. S., Silverman R. and Wu A. Y (1998), An optimal algorithm for approximate nearest neighbor searching, Journal of the ACM, 45, 891-923.

See Also

distance, distance

Examples

# \donttest{
library(sf)
library(terra)

# read, project and subset 10 polygons
nc <- suppressWarnings(st_cast(st_read(system.file("shape/nc.shp", 
         package="sf")), "POLYGON"))
  nc <- st_transform(nc, st_crs("ESRI:102008"))
    nc.sub <- nc[sample(1:nrow(nc),10),]

# create 1000m reference raster, rasterize subset polygons
ref <- rast(ext(nc), resolution=1000)
  rnc <- mask(rasterize(vect(nc.sub), field="CNTY_ID",
              ref, background=9999), vect(nc)) 
    crs(rnc) <- "ESRI:102008"  
  
# Calculate distance to class 1 in rnc raster, plot results
ids <- nc.sub$CNTY_ID 
rd <- rasterDistance(rnc, y=ids) 
  plot(rd)
    plot( st_geometry(nc.sub), add=TRUE)

# }