I recently discovered it is possible to conduct home-range analyses in QGIS using R through Python and I am desperately trying to find a way to analyse my data (locational data from a baboon troop, available in shapefile, .csv, .gpx file or whatever file it takes). I want to analyse my data using a fixed kernel density using a plug-in method (as proposed by Sheather & Jones (1991) and described in detail in Section 3.6 of Wand & Jones (1995)). I've tried using the 'dpik' function in the 'KernSmooth' package in R directly, but I am too inexperienced too make it work (very frustrating!).
Can anybody let me know whether this would be possible in QGIS, before I start the what sounds like a difficult download process? Many thanks for any advice offered. Louise -- View this message in context: http://osgeo-org.1803224.n2.nabble.com/Home-Range-calculation-using-Kernel-density-tp6765962p6765962.html Sent from the qgis-user mailing list archive at Nabble.com. _______________________________________________ Qgis-user mailing list [email protected] http://lists.osgeo.org/mailman/listinfo/qgis-user
