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...t) = ~x+y gridded(datapoint)=TRUE value<-as.list(1:100) for (i in 1:100) value [[i]]= abc[[i]]@data[overlay(abc[[i]], datapoint),] then I will have a list of 100 "value" for each original dataframe I would be appreciative if someone could tell me how I can allocate coordinate and grided systems to an dataframes which are as.list. I hope that is comprehendable and someone can help. I am very stuck many thanks Sylvestre [[alternative HTML version deleted]]

...e aware of ? 5) Can we take advantage of sharing the graphics CPU, via R CUDA, in a parallel distributed shared cluster of dedicated machines ? 6) Our statistical analysis and modeling applications address very large geographic issues. We generally work with 30-40 year daily time step data in a grided format. The grid is approximate 250 x 400 cells in extent, each representing approximately 500 meters x 500 meters. To this we a very large suite of ancillary information, both spatial and non-spatial, to simulate a variety of ecological state conditions. My question is - is this too large for...

Dear all, Dose anyone know whether there is a good R packege or program for Mantel's randomization test? Thanks in advance. ------------------------ Takashi Mizuno zoono at sci.osaka-cu.ac.jp Plant Ecology Lab. Osaka City University ------------------------ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hello, Could someone tell me whether the spatial statistics module of Splus is worth the rather high price, or whether one could (with reasonable effort) carry out the same things using R and some of its contributed packages. Although we do have Splus (Windows and Unix), we definitely prefer to use R whenever feasible (both for research and teaching). Thanks for developing a superb