A geospatial analysis project focused on identifying suitable marine aquaculture areas along the U.S. West Coast based on environmental constraints.
This project uses marine organisms' optimal depth and water temperature to explore chances of marine aquaculture along the Western United States. Areas along the coast that hold these optimal conditions are identified and mapped. The two species seen in this example are oysters and red abalone, however the parameters can easily be changed to account for any species of choice. Each exclusive economic zone has their potential aquaculture area tallied and mapped, so we can visualize which zone may be the best to pursue aquaculture of that species.
Ensure you have the following prerequisites installed:
R (version 4.0 or later)
R packages: terra, sf, tidyverse, tmap, testthat, kableExtra
Quarto for rendering reports
Operating System: macOS, Linux, or Windows 10+
Clone the repository from GitHub Classrooms:
https://github.com/efairbanks000/potential-marine-aquaculture.git
Your repository structure should look like this:
potential-marine-aquaculture
│ README.md
│ analysis.qmd
│ .gitignore
│
└───data
│ wc_regions_clean.shp
│ depth.tif
│ average_annual_sst_2008.tif
│ average_annual_sst_2009.tif
│ average_annual_sst_2010.tif
│ average_annual_sst_2011.tif
│ average_annual_sst_2012.tif
Eric Fairbanks
I want to thank Ruth Oliver, Ale Vidal Meza, and my EDS 223 peers who helped with data accessibility, inspiration, and troubleshooting issues.