goats: Mountain Goats Data Set

In ResourceSelection: Resource Selection (Probability) Functions for Use-Availability Data

Description

GPS collar data of mountain goats (Oreamnos americanus) from Lele and Keim (2006).

Usage

data(goats)

Format

A data frame with 19014 observations on the following 8 variables.

STATUS

a numeric vector, 1: used, 0: available

ID

a numeric vector, individuals

ELEVATION

a numeric vector (m)

SLOPE

a numeric vector (degrees, steep)

ET

a numeric vector, access to escape terrain (distance from steep slopes, m)

ASPECT

a numeric vector (degrees)

HLI

a numeric vector, heat load index (0-1)

TASP

a numeric vector, transformed aspect

Details

Mountain goat telemetry data were collected in the Coast Mountains of northwest British Columbia, Canada, as described in Lele and Keim (2006).

Source

Ecological Archives E087-181-S1, http://www.esapubs.org/archive/ecol/E087/181/

References

Lele, S. R. & Keim, J. L. (2006) Weighted distributions and estimation of resource selection probability functions. Ecology 87, 3021–3028.

Examples

data(goats)
str(goats)
summary(goats)

## Not run: 
goats$exp.HLI <- exp(goats$HLI)
goats$sin.SLOPE <- sin(pi * goats$SLOPE / 180)
goats$ELEVATION <- scale(goats$ELEVATION)
goats$ET <- scale(goats$ET)
goats$TASP <- scale(goats$TASP)
m1 <- rspf(STATUS ~ TASP + sin.SLOPE + ELEVATION, goats, m=0, B = 99)
m2 <- rspf(STATUS ~ TASP + ELEVATION, goats, m=0, B = 99)
summary(m1)
summary(m2)
AIC(m1, m2)
plot(m1)

## End(Not run)

ResourceSelection documentation built on May 2, 2019, 6:29 p.m.