Nik Ramzi Nik Hassan

Rasters are a data container that allows the quantification of continuously distributed data with well defined geospatial context.

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 a link to the video of the lecture on this topic, it took place across 2 days so it is spliced together.

The content of the slides are based upon a larger narrative document, which is embedded below2. You can use this narrative document as a general work-flow for this topic. It has all the code necessary to perform the basic operations covered in the talk and reinforced in the activity included below.

Supplemental Materials

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


Here is the activity associated with this particular topic.

Here are the question on the activity with my attempts at answering them.

  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).↩︎

  2. This is an R-Notebook document you can download directly to your computer. To do so, pull down the Code menu on the top right and right-click the Download RMD option and save it to your Landscape Genetics Project folder.↩︎