stsecal
Computes the standard error for spacetime clustering.
 Keywords
 spatial
Usage
stsecal(pts, times, poly, tlim, s, tm)
Arguments
 pts
 A set of points, as defined in Splancs.
 times

A vector of times, the same length as the number of points in
pts
 poly
 A polygon enclosing the points
 tlim
 A vector of length 2 specifying the upper and lower temporal domain.
 s
 A vector of spatial distances for the analysis
 tm
 A vector of times for the analysis
Value
A matrix of dimension [length(s),length(t)]
is returned. Element
[i,j]
is the standard error at s[i],t[j]
.
See Diggle Chetwynd Haggkvist and Morris (1995) for details.
References
Diggle, P., Chetwynd, A., Haggkvist, R. and Morris, S. 1995 Secondorder analysis of spacetime clustering. Statistical Methods in Medical Research, 4, 124136;Bailey, T. C. and Gatrell, A. C. 1995, Interactive spatial data analysis. Longman, Harlow, pp. 122125; Rowlingson, B. and Diggle, P. 1993 Splancs: spatial point pattern analysis code in SPlus. Computers and Geosciences, 19, 627655; the original sources can be accessed at: http://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, 307317.
See Also
Examples
example(stkhat)
bur1se < stsecal(burpts, burkitt$t, burbdy, c(400, 5800),
seq(1,40,2), seq(100, 1500, 100))