habData {stocc} | R Documentation |
A simulated data set of environmental covariates
Description
This data represents a simulated study area. The study area is a 40 x 40 grid of pixels. There are two variables, a factor variable (e.g., a habitat layer), as well as, a continuous covariate.
Format
A data frame with 1600 observations on the following 5 variables.
- site
Site labels
- x
Longitude coordinate
- y
Latitude coordinate
- habCov1
a factor with levels
1
2
3
- habCov2
a numeric vector
Examples
data(habData)
image(x=seq(0.5,39.5,1), y=seq(0.5,39.5,1),
z=t(matrix(as.numeric(habData$habCov1),40)), main="habData: Factor environmental covariate",
xlab="x", ylab="y", col=rainbow(3))
dev.new()
image(x=seq(0.5,39.5,1), y=seq(0.5,39.5,1),
z=t(matrix(habData$habCov2,40)), main="habData: Continuous environmental covariate",
xlab="x", ylab="y", col=terrain.colors(50))
[Package stocc version 1.31 Index]