chrismgentry/home-range-analysis

Exercise for Home Range Analysis using R. BIOL 5700, Advanced Data Analytics

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)