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Hello Heather - The first thing to do is explore your data and make sure that your grid and points have imported correctly. Different spatial packages have slightly different classes, so its always a good idea to use class() to make...
Hello again Katia - Of course, before you can use the functions in spdep, you will need to load it, like this: library(spatstat) library(spdep) data(amacrine) ama.split <- split(amacrine) # make one .ppp for each mark summary(ama.split...
Dear Maurizio - it sounds as though your data are what my spatial stats teacher called "lattice" data. The particular analysis you propose - repeatedly aggregating different blocks of data together and then comparing across scales; sounds like the "grieg-smith" approach...
Hi Katia - The spdep package has a variety of functions to count neighbors, as well as functions to combine neighborhoods. You will first need to extract the coordinates of your .ppp into a matrix Here's a quick example: library...
Dear Alexandre - Apologies if your question has been answered already, I read r-sig-geo as a daily digest. I'm not sure what is "obviously' wrong with the humberside example. Because the observation window is an irregular polygon the...
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