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# Kernel Densities from point object
#kde.points <- function(pts,h,n=200,lims=NULL) {
# xy = coordinates(pts)
# p4s = CRS(proj4string(pts))
# if (missing(h)) h = c(bandwidth.nrd(xy[,1]),bandwidth.nrd(xy[,2]))
# if (is.null(lims))
# { lims=c(range(xy[,1]),range(xy[,2])) }
# else
# { lims = t(bbox(lims))}
# kd = kde2d(xy[,1],xy[,2],h,n,lims)
# temp = SpatialPoints(expand.grid(kd$x,kd$y))
# temp = SpatialPixelsDataFrame(temp,data.frame(kde=array(kd$z,length(kd$z))))
# proj4string(temp) = p4s
# temp}
#
#
#
#
#
# level.plot <- function(grd,shades,index=1,add=FALSE) {
# x = unique(coordinates(grd)[,1])
# y = unique(coordinates(grd)[,2])
# z = data.frame(grd)[,index]
# zz = z[!is.na(z)]
# if(missing(shades)) shades = auto.shading(zz,cutter=range.cuts)
# levels = c(min(z,na.rm=TRUE),shades$breaks,max(z,na.rm=TRUE))
# z = matrix(z,length(x),length(y))
# storage.mode(z) = "double"
# if (!add) {
# xx = c(min(x),max(x))
# yy = c(min(y),max(y))
# plot(xx,yy,type='n',xaxt='n',yaxt='n',xaxs='i',yaxs='i',bty='n',xlab='',ylab='',asp=1) }
# cols = shades$cols
# .Internal(filledcontour(as.double(x),as.double(y),z,as.double(levels),col = cols))}
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