bw.calc: Bandwidth selection tool for gkde()

In rsh249/rasterExtras: Parallel computing with rasters

Description

Calculate the optimal bandwidth or bootstrap the bandwidth selection for lage datasets.

Usage

bw.calc(points, dist.method = "Pythagorean", boot.n = 0,
  sam.size = 100, maxram = 4)

Arguments

points	A two column data frame in the form (lon,lat) or (x,y)
dist.method	Haversine or Pythagorean distance implemented.
boot.n	Number of bootstrap replicates to do. If set, will do bootstrap even on small datasets. Default 1000.
sam.size	Bootstrap sample size.
maxram	Maximum RAM, in Gigabytes.

Examples

require(raster)
grid = raster::raster(nrows=18, ncols=36, xmn=-180, xmx=180, ymn=-90, ymx=90, vals=NULL)
grid = raster::setValues(grid,values=(as.vector(seq(1:raster::ncell(grid)))))
points = cbind(
      c(seq(xmin(grid), xmax(grid), length.out=1000), 
               seq(xmax(grid), xmin(grid), length.out=1000)), 
      c(seq(ymin(grid), ymax(grid), length.out=1000), 
               seq(ymin(grid), ymax(grid), length.out=1000))
               )
bandwidth = bw.calc(points);

rsh249/rasterExtras documentation built on June 7, 2019, 7:38 a.m.