chrismgentry / Distribution-Maps

Connecting to External Data Sources, APIs, and Simple Distribution Map Exercise for BIOL 5700, Advanced Data Analytics

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