elhazen / SDM_tutorial

This is a half day exercise in species distribution modeling for attendees at NSAW.

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SDM_tutorial

This is a half day exercise in species distribution modeling for attendees at NSAW on 4/20/2020.

Before you arrive: You can download this repositority (green clone or download button) directly to your computer if you are not familiar / signed up with GitHub. If you are familiar with GitHub, please feel free to fork this repo and make suggestions. Please make sure your packages are all loaded if you don't have admin privileges, and also note this tutorial was written on a mac. That means the "/" needs to be replaced with a "" if you're using a PC.

Additional resources:

View the website from the Rmd.

A 2006 comparison of modeling approaches, and further a 2019 consideration for co-variate selection and climate projections.

Boosted regression trees for ecological modeling and a working guide

MGCV and an introduction to Generalized Additive Mixed Models - but see gamm4 as an alternative package.

Ben Best's course on landscape ecology and a thorough tutorial on species distributional modeling and spatial data

If you need information on how to model movement data before feeding into a distribution model, Briana Abrahms put together a one-day short course on animal movement modeling using hidden markov models. The code is here.

And if you are interested in testing your models using simulated data, Stephanie Brodie put together a great example for the Western Regional Action Plan workshop.

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This is a half day exercise in species distribution modeling for attendees at NSAW.


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