Lancaster University
install.packages("foo")
> 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 analysisrequire(secr)
## Loading required package: secr
## Loading required package: abind
## This is secr 2.6.1. For overview type ?secr
## Attaching package: 'secr'
## The following object(s) are masked from 'package:boot': ## ## logit
## The following object(s) are masked from 'package:adehabitatMA': ## ## join
plot(housemouse, title = paste("Coulombe (1965), Mus musculus,", "California salt marsh"), border = 5, rad = 0.5, gridlines = FALSE)
unmarked
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.