Home Range Analysis

Home Range Analysis Exercise for BIOL 5700, Advanced Data Analytics

This exercise will provide information for using R for home range analysis including Minimum Convex Polygon (MCP), Kernel-Density Estimation (KDE), and Brownian Bridge Movement Model (BB).

Exercise Webpage - https://chrismgentry.github.io/Home-Range-Analysis/

References for home range analysis in R:

Below you will find resources and tutorials with will provide assistance with this exercise.

Datasets

• https://datadryad.org/stash/
• https://www.gbif.org/
• https://www.movebank.org

Packages

• adehabitat: https://cran.r-project.org/web/packages/adehabitatHR/adehabitatHR.pdf
• move: https://cran.r-project.org/web/packages/move/vignettes/move.pdf
• moveVis: https://cran.r-project.org/web/packages/moveVis/moveVis.pdf
• plotly: https://cran.r-project.org/web/packages/plotly/plotly.pdf
• pbapply: https://cran.r-project.org/web/packages/pbapply/pbapply.pdf

Tutorials

• Home Range Analysis: https://cran.r-project.org/web/packages/adehabitatHR/vignettes/adehabitatHR.pdf
• Movement Visualization: http://movevis.org/ and http://movevis.org/articles/example-3.html
• Date and Time Conversions: https://www.rdocumentation.org/packages/base/versions/3.6.1/topics/as.POSIX*

Helpful site for selecting color schemes

• http://colorbrewer2.org

For Mac users with Java Complications

• If you are unable to use OpenStreeMap due to Java issues try the following package/script for a basemap:

library('ggmap')

stamen <- get_stamenmap(bbox = c(left = -87.4, bottom = 36.5, right = -87.3, top = 36.6),
          zoom = 14, maptype = "terrain")

ggmap(stamen)