This week is an introduction to working with spatial data in R. You will learn spatial data types, new packages to work with and analyze vector (sf) and raster (terra) data and visualize spatial data with the tmap package.
We will also learn of some new R packages you can use to retrieve spatial data from different databases, such as the rgbif package which retrieves species occurrence data from the GBIF database and soilDB to retrieve snow depth data from SNOTEL sites around the U.S.
Here are more resources on working with geospatial data in R: - List of open-source geospatial datasets - Visualize spatial data with ggmap
There are 2 required lesson plans this week that will count towards your assignment. Remeber to first Fork this repository then clone your forked repo, and save copies of each .Rmd with your name appended to the file name. Below are descriptions of each assignment with links to the associated video tutorials:
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01_spatial_intro.Rmd
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02_spatial_analysis.Rmd
To submit your assignment, remember to push all your file edits to GitHub and then submit a pull request by clicking 'Contribute' -> 'Open a Pull Request' from the home page of your forked repo. The two assignments above will be due Monday 11/13.
As a reminder, it is okay to submit the pull request before you've finished all assignments. Any new file changes pushed to GitHub after will just be appended to your existing pull request.
There are a few lessons/challenges that are not required but may be worth your time (and extra credit..). Located in the 'bonus/' subfolder, you will find the following files:
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get_spatial_challenge.Rmd : Worth up to 3 extra credit points if fully completed
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spatial_viz.Rmd : A fun lesson to explore more visualization techniques