Multitype point pattern analysis

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Maybe solutionset can help you. Try the followin example:

data(lansing)
lansing.spl <- split(lansing)
  blackoak <- with (lansing.spl, density.ppp(blackoak))
  hickory <- with (lansing.spl, density.ppp(hickory))
maple <- with (lansing.spl, density.ppp(maple))

# where density of maple is > 500 and density of hickory is > 500?
plot(solutionset(maple>500 & hickory>500))

# Three types case: where density of maple is > 500 and density of 
hickory is > 500 and density of blackoak > 100?
  plot(solutionset(maple>500 & hickory>500 & blackoak>100))

HTH

Marcelino
Hi folk,

I am working on tropical forest dynamic trying to find out "patches" 
of young, adult or suppressed trees. Each tree has XY coordinates 
and I consider my data as a multitype point pattern (ppt), handling 
data with spatstat. Actually I consider each mark separately and 
delineate areas of aggregation (contour(density(ppt)). Then, I 
superimpose these high-density areas on the same map and look at 
non-overlapping regions. This is not very satisfying and I would 
like to go a step further in interpreting areas of e.g. low density 
of adult trees and high density of suppressed trees. I could not 
find any reference in the literature dealing with more than 2 types...

Did anyone already deal with similar problem?? Any suggestion will 
be greatly helpful.

Thanks. Best,
Ervan
___________________________________________________________

Ervan Rutishauser
PhD student
CIRAD - UMR AMAP
BP 701
97387 Kourou Cedex
tel. 00594.594.32.92.96

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Marcelino de la Cruz Rot
Depto. Biologia Vegetal
EUIT Agricola
Universidad Politecnica de Madrid
28040-Madrid
SPAIN