getCounts: getCounts function

In bentaylor1/lgcp: Log-Gaussian Cox Process

Description

This function is used to count the number of observations falling inside grid cells, the output is used in the function lgcpPredict.

Usage

getCounts(xyt, subset = rep(TRUE, xyt$n), M, N, ext)

Arguments

xyt	stppp or ppp data object
subset	Logical vector. Subset of data of interest, by default this is all data.
M	number of centroids in x-direction
N	number of cnetroids in y-direction
ext	how far to extend the grid eg (M,N) to (ext*M,ext*N)

Value

The number of observations in each grid cell returned on a grid suitable for use in the extended FFT space.

See Also

lgcpPredict

Examples

require(spatstat)
xyt <- stppp(ppp(runif(100),runif(100)),t=1:100,tlim=c(1,100))
cts <- getCounts(xyt,M=64,N=64,ext=2) # gives an output grid of size 128 by 128
ctssub <- cts[1:64,1:64] # returns the cell counts in the observation
                         # window of interest

bentaylor1/lgcp documentation built on May 12, 2019, 2:09 p.m.