Hi, El vie, 08-12-2006 a las 09:59 +0800, Adrian Baddeley escribió: > Virgilio Gomez-Rubio writes: > > > Diggle (2003), for example, describes what you ask and most of the > > examples in the book can be reproduced using package Splancs. Check > > manual page of function mse2d and references (in Splancs) as well. > > I beg to disagree. The function 'Kmeasure' in spatstat does not have > a counterpart in any other R package, to my knowledge. > The function mse2d (splancs) is not appropriate for selecting the > sigma parameter in Kmeasure.
Yes, that is absolute true!!! I apologise, I realise now that what I said was completely non-sense!! Sorry, I messed things up in my head (I shall take more time to reply to e-mails next time). I completely agree with Prof. Baddeley's advice. > In general terms, spatstat is by far the largest and most extensive R package > for analysing spatial point patterns. The writer's recommendation to > ignore this huge package is a bit misguided. I apologise again. Spatstat is the most comprehensive R package for point processes nowadays, with contributions by most of the main contributors to the field. I recommended Splancs because Debs mentioned he was interested in measuring clustering and then I thought of clustering in Spatial Epidemiology, which is not probably what he wants to do. That was my main reason to recommend Splancs and Diggle (2003). I know that most of the analysis can be done with spatstat as well but I do not know if all the methods are already included in spatstat. Probably they are now, since I have noticed a big grow in the number of functions in recent releases. Finally, I would like to say that I also use spatstat myself to analyse point patterns. Best regards, Virgilio _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo
