Summary plots for clustering analysis
Produces some summary plots for clustering analysis
stdiagn(pts, stkh, stse, stmc=0,Dzero=FALSE)
pts |
A set of points, as used in Splancs |
stkh |
An object returned from |
stse |
An object returned from |
stmc |
An object returned from |
Dzero |
FALSE - default D plot, TRUE Dzero plot |
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 space-time K-function and the product of spatial and temporal K-functions. The third plot is of the standardised residuals against the product of spatial and temporal K-functions. If the Monte-Carlo 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.
Diggle, P., Chetwynd, A., Haggkvist, R. and Morris, S. 1995 Second-order analysis of space-time clustering. Statistical Methods in Medical Research, 4, 124-136;Bailey, T. C. and Gatrell, A. C. 1995, Interactive spatial data analysis. Longman, Harlow, pp. 122-125; 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.
example(stkhat) example(stsecal) example(stmctest) stdiagn(burpts, bur1, bur1se, bur1mc)
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