Habitat Analysis

Core to landscape genetics is the ability to derive data representing the landscape. In this topic, we explore how to leverage vector and raster data to extract localized data that will ultimately be used as the set of predictor variables in our landscape genetic models.

Lecture Content

For this topic, I will be spending a bit of time covering the foundations of this topic as well as giving some concrete examples. To do so, you have access to the following slide set1.

Here is the video of the lecture for this topic.

Supplemental Materials

In addition to this lecture content, you may find the following information helpful as you go though these exercises.

Activity

Here is the activity associated with this particular topic.


  1. This is a presentation writing in Xaringan, an RMarkdown presentation type. It is an active embed in this page (and hosted elsewhere). It can be extracted my clicking on the slide and hitting the c key on your keyboard—to clone it into its own window (more commands available using ? for viewing).↩︎

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