> vignette(package="sp") Vignettes in package ‘sp’: intro_sp sp: classes and methods for spatial data over sp: overlay and aggregation > vignette("intro_sp")
require(adehabitatHR) require(adehabitatMA) data(puechabonsp) # boar data cp <- mcp(puechabonsp$relocs[, 1], percent = 95) plot(cp) require(RColorBrewer) palette(brewer.pal(4, "Set1")) plot(puechabonsp$relocs[, 1], add = TRUE, col = puechabonsp$relocs$Name)
secr- spatial capture-recapture analysis
plot(housemouse, title = paste("Coulombe (1965), Mus musculus,", "California salt marsh"), border = 5, rad = 0.5, gridlines = FALSE)
Description: Unmarked fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates.
There are now many R packages to get data from internet repositories
A number of these are developed by the rOpenSci people. These are not on CRAN, and install intructions are on their web pages.