topic Kernel Density Estimation in a confined area in Spatial Statistics Questions https://community.esri.com/t5/spatial-statistics-questions/kernel-density-estimation-in-a-confined-area/m-p/223244#M707 <HTML><HEAD></HEAD><BODY><SPAN>Hi there,</SPAN><BR /><BR /><SPAN>I'm looking at homeranges and using the Geospatial Modelling Environment tool (previously Hawth's tool) to do some KDE work.&nbsp; The population I'm studying lives in a confined area.&nbsp; I'd like to use the shapefile of their habitat to confine the probablility surface.&nbsp; So far I've found I can create the prob surface and then use the habitat shapefile to cut them out (method 1).&nbsp; However, this doesn't make sense as there is 0 probability they will be found outside of their habitat.&nbsp; I was wondering if anyone else had tackled this problem or if anyone knows how to use the border to confine the probabililty surface (method 2)?&nbsp; Or indeed if this is the correct method.&nbsp; I've looked at both Arc's KDE and GME's KDE functions but I can't seem to find anything to help.&nbsp; Processing extents or masks tend to cut of the probability surface meaning it replicates method 1. </SPAN><BR /><BR /><SPAN>As always, any help would be appreciated.</SPAN><BR /><BR /><SPAN>And Happy Holidays!</SPAN></BODY></HTML> Mon, 26 Dec 2011 08:03:48 GMT OliverBurdekin 2011-12-26T08:03:48Z Kernel Density Estimation in a confined area https://community.esri.com/t5/spatial-statistics-questions/kernel-density-estimation-in-a-confined-area/m-p/223244#M707 <HTML><HEAD></HEAD><BODY><SPAN>Hi there,</SPAN><BR /><BR /><SPAN>I'm looking at homeranges and using the Geospatial Modelling Environment tool (previously Hawth's tool) to do some KDE work.&nbsp; The population I'm studying lives in a confined area.&nbsp; I'd like to use the shapefile of their habitat to confine the probablility surface.&nbsp; So far I've found I can create the prob surface and then use the habitat shapefile to cut them out (method 1).&nbsp; However, this doesn't make sense as there is 0 probability they will be found outside of their habitat.&nbsp; I was wondering if anyone else had tackled this problem or if anyone knows how to use the border to confine the probabililty surface (method 2)?&nbsp; Or indeed if this is the correct method.&nbsp; I've looked at both Arc's KDE and GME's KDE functions but I can't seem to find anything to help.&nbsp; Processing extents or masks tend to cut of the probability surface meaning it replicates method 1. </SPAN><BR /><BR /><SPAN>As always, any help would be appreciated.</SPAN><BR /><BR /><SPAN>And Happy Holidays!</SPAN></BODY></HTML> Mon, 26 Dec 2011 08:03:48 GMT https://community.esri.com/t5/spatial-statistics-questions/kernel-density-estimation-in-a-confined-area/m-p/223244#M707 OliverBurdekin 2011-12-26T08:03:48Z