adehabitathr

问题 The documentation for adehabitat HR recommends the following code for calculating a 95% kernel for a home range after creating the UD object: ## Calculation of the 95 percent home range ver <- getverticeshr(ud, 95) For some of my data, the following error appears: Error in getverticeshr.estUD(x[[i]], percent, ida = names(x)[i], unin, : The grid is too small to allow the estimation of home-range. You should rerun kernelUD with a larger extent parameter On a Nabble forum people recommending

问题 I'm using adehabitat to create mcps for annual and seasonal ranges. my csv is set up as a binary system for categorizing the seasons. it looks like this across the top: anid - date - easting - northing - annual - seasonA - seasonB - seasonC However, some of my animals do not have enough locations for each season. My first subset looks like this: seasonA <-locations[locations$seasonA==1] And when I make my table: t2<-table(seasonA$anid) t2 I see that some of the animals have less than 30