我对R比较陌生,我想用adehabitatHR包从我的海龟GPS数据中创建内核密度和等值线。我遇到了一些问题…
基本上,我在R中分配I和XY字段以创建KDs和MCP时遇到了问题。
提前感谢您的帮助!
Here is what I have been doing...
#loading packages
`library(adehabitatHR)
library(raster)
library(rgdal)
library(maptools)`
#read CSV with UTM xy and ids
track<-
read.table("T:/GIS/Data/Tracking/state_space_model/20150210_AbHabiatatHRmodel/All_prelim_model_6hr_utm_forage_10A.csv",
header=TRUE, sep=",", na.strings="NA", dec=".", strip.white=TRUE)
# Turn track into a SpatialPointsDataFrame sby specifying that the "X" and "Y" columns are the coordinates:
coordinates(track) <- c("X", "Y")
class(track)
plot(track)
#Project into utm:
proj4string(track) <- CRS("+init=epsg:32618")
#read shore;ine file
shore <- readShapeSpatial("C:/Users/gemme001/Desktop/R_state_space/STATES_VA_COAST_UTM.shp", delete_null_obj=TRUE)
plot(shore)
proj4string(shore) <- CRS("+init=epsg:32618")
#Add to list the list with the names "map" and "relocs"
my.homerange.data <- list(map = shore, relocs = track)
#Assign IDs and XY – the IDs work but coordinates don’t work. I get the following error: Error in `[.data.frame`(x@data, i, j, ..., drop = FALSE) : undefined columns selected
id<-my.homerange.data$relocs$Name
xy<-(my.homerange.data$relocs["X","Y"]
#Create CP – this works
cp <- mcp(my.homerange.data$relocs[,1], percent=95)
class(cp)
plot(cp)
#Create KUD. This doesn’t work. I get the following: Error in xy.coords(x, y, xlabel, ylabel, log) : 'x' is a list, but does not have components 'x' and 'y'
kud <- kernelUD(track[,1], h="href")
发布于 2015-02-24 23:44:40
到目前为止,你可能已经解决了你的问题,但以防万一,我终于用我的鸟类数据解决了这个问题,并且和你有相同的问题。最后,我在excel中为数据表的第一列中的每种动物分配了一个ID,然后重新导入数据。此外,如果您正在学习adehabitatHR教程,请确保您的x和y列是第2列和第3列,并且也是这样标记的。一旦我以这种格式设置了我的数据,我就能够轻松地将空间数据转换为数据帧,然后继续计算KDE并获得home range多边形。
https://stackoverflow.com/questions/28463307
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