Description Usage Arguments Author(s) See Also Examples
This function plots the output data spatially, allowing the user to visualise the random locations generated for individuals and the resulting associations defined by group memberships. This map can be plotted with or without individual ID labels.
1 | fAssocplot(dnndata, idataxy, iplotnames = FALSE)
|
dnndata |
a |
idataxy |
A |
iplotnames |
logical. Whether or not the user wants the animal IDs printed on the association plot. Default = FALSE |
Ross Dwyer ross.dwyer@uq.edu.au
fAssoctable
, fAssocmatrix
, dnearneigh
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | ## Load required packages
library(adehabitatHR)
## Load the data
data(StudyArea)
data(Roos)
## Convert into a spatial object
coordinates(Roos) <- ~x+y
## Estimation of UD and KUD 95% for the 10 animals
ud <- kernelUD(Roos,h="href",same4all=TRUE)
ver95 <- getverticeshr(ud,95,unin = c("m"),unout=c("ha"))
udsgdf <- as(estUDm2spixdf(ud),"SpatialGridDataFrame")
## For all 10 individuals, extract probability weighted random points
## falling within their respective utilisation distributions
ranXY <- fRanXY(1:10,udsgdf)
coordinates(ranXY) <- ~x+y
## Run Nearest neighbour function with those interactions < 50 m to generate the nb object
## See ?dnearneigh in the spdep package for more information
Gprox <- 50
dnn_digi <- dnearneigh(ranXY,0,Gprox,row.names=as.character(ranXY$ID))
## Plot and visualise these groups with and without animal IDS
fAssocplot(dnn_digi,ranXY,iplotnames=TRUE)
fAssocplot(dnn_digi,ranXY,iplotnames=FALSE)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.