stdiagn
Produces some summary plots for clustering analysis
 Keywords
 spatial
Usage
stdiagn(pts, stkh, stse, stmc=0,Dzero=FALSE)
Arguments
 pts
 A set of points, as used in Splancs
 stkh

An object returned from
stkhat
 stse

An object returned from
stsecal
 stmc

An object returned from
stmctest
 Dzero
 FALSE  default D plot, TRUE Dzero plot
Details
Four plots are produced on the current graphics device. The first plot is simply a map of the data. The second is a perspective plot of the difference between spacetime Kfunction and the product of spatial and temporal Kfunctions. The third plot is of the standardised residuals against the product of spatial and temporal Kfunctions. If the MonteCarlo data is given the fourth plot is a a histogram of the test statistics, with the value for the data indicated with a vertical line. 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)
example(stsecal)
example(stmctest)
stdiagn(burpts, bur1, bur1se, bur1mc)