goats {ResourceSelection} | R Documentation |
Mountain Goats Data Set
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)