buffalos: Buffalo data set

In AniMoveCourse/animove: Animove lecture series meta-package

Buffalo data set

Description

GPS data on six African buffalo as move object. All outliers are removed. This is used as an example dataset throughout the animove course. buffalo_ll is unprojected (Longitude, Latitude). buffalo_utm is projected in UTM to match buffalo_env.

Usage

data(buffalo_ll)
data(buffalo_utm)

Value

MoveStack of six individuals

References

When using this dataset, please cite the original article by Getz et al (2007) and the Movebank data package (Cross et al, 2016). P. C. Cross, J. A. Bowers, C. T. Hay, J. Wolhuter, P. Buss, M. Hofmeyr, J. T. du Toit, W. M. Getz. Data from: Nonparameteric kernel methods for constructing home ranges and utilization distributions. Movebank Data Repository. DOI:10.5441/001/1.j900f88t (2016).

W. M. Getz, S. Fortmann-Roe, P. C. Cross, A. J. Lyons, S. J. Ryan, C. C. Wilmers. LoCoH: Nonparameteric kernel methods for constructing home ranges and utilization distributions. PLoS ONE 2:2, e207 (2007).

See Also

buffalo_env

Examples

# Load example datasets
data(buffalo_ll)
data(buffalo_utm)
data(buffalo_env)

# Plot firste environmental layer and buffalo tracks
plot(buffalo_env, 1)
lines(buffalo_utm)

AniMoveCourse/animove documentation built on Aug. 23, 2023, 8:53 p.m.