Working with Remote Data, Distribution Networks, and Simple Species Distribution Models

Species Distribution Exercise for BIOL 5660, Advanced Data Analytics

This exercise will provide information for using R to connect to remote datasets, work with APIs, and create basic species distribution models.

Exercise Webpage - https://chrismgentry.github.io/Distribution-Maps/

References for spatial 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/

Packages

• https://cran.r-project.org/web/packages/dismo/dismo.pdf
• https://cran.r-project.org/web/packages/rdryad/rdryad.pdf
• https://cran.r-project.org/web/packages/rgbif/rgbif.pdf

Tutorials

• https://cran.r-project.org/web/packages/dismo/vignettes/sdm.pdf
• https://cmerow.github.io/RDataScience/05_Raster.html#1_setup
• http://www.molecularecologist.com/2013/04/species-distribution-models-in-r/
• https://jcoliver.github.io/learn-r/011-species-distribution-models.html
• https://daattali.gitbooks.io/stat545-ubc-github-io/bit003_api-key-env-var.html #storing an API key in your .Renviron

Helpful site for selecting color schemes

• http://colorbrewer2.org