kernel3d: Space-time kernel

In splancs: Spatial and Space-Time Point Pattern Analysis

Space-time kernel

Description

Compute the space-time kernel

Usage

kernel3d(pts, times, xgr, ygr, zgr, hxy, hz)

Arguments

pts	A matrix of event coodinates x,y.
times	A vector of event times, t.
xgr	The values of x at which to compute the kernel function.
ygr	The values of y at which to compute the kernel function.
zgr	The values of time at which to compute the kernel function.
hxy	The quartic kernel width in the x and y direction.
hz	The quartic kernel width in the temporal direction.

Value

A list is returned. Most of the components are just copies of the input parameters, except for the $v parameter. This is a three dimensional array containing the kernel-smoothed values. Its dimension is [length(xgr),length(ygr),length(tgr)].

References

Rowlingson, B. and Diggle, P. 1993 Splancs: spatial point pattern analysis code in S-Plus. Computers and Geosciences, 19, 627-655; the original sources can be accessed at: https://www.maths.lancs.ac.uk/~rowlings/Splancs/. See also Bivand, R. and Gebhardt, A. 2000 Implementing functions for spatial statistical analysis using the R language. Journal of Geographical Systems, 2, 307-317.

See Also

kerview

Examples

data(burkitt)
b3d <- kernel3d(burpts, burkitt$t, seq(250,350,10), seq(250, 400, 10),
  seq(365,5800,365), 30, 200)
brks <- quantile(b3d$v, seq(0,1,0.05))
cols <- heat.colors(length(brks)-1)
oldpar <- par(mfrow=c(3,5))
for (i in 1:15) image(seq(250,350,10), seq(250, 400, 10), b3d$v[,,i],
  asp=1, xlab="", ylab="", main=1960+i, breaks=brks, col=cols)
par(oldpar)

splancs documentation built on April 18, 2022, 3 a.m.