Image credits: Unsplash
In this repository you will fine a geospataila analysis identifying optimal location for Marine Aquaculture development along the West Coast of the United States. To determine areas more suitable for Oyster farming and other marine aquaculture operations, we evaluated Exclusive Economic Zones (EEZs) based on species specific Sea Surface Temperature (SST) and Depth requirement.
- Combining vector/raster data
- Resampling raster data
- Masking raster data
- Map algebra
- Creating a function
.gitignore
LICENSE
Prioritizing-potential-aquaculture.Rproj
README.html
README.md
aquaculture_analysis.qmd
figs/README1.2.png
figs/README1.png
images/clipboard-108025981.png
Use average annual sea surface temperature (SST) from the years 2008 to 2012 to characterize the average sea surface temperature within the region. The data was originally generated from NOAA’s 5km Daily Global Satellite Sea Surface Temperature Anomaly v3.1.
For ocean depth characterization use the General Bathymetric Chart of the Oceans (GEBCO).3
To designating maritime boundaries use Exclusive Economic Zones off of the west coast of US from Marineregions.org.
Course Title: EDS 223 - Geospatial Analysis & Remote Sensing Term: Fall 2025 Program: UCSB Masters in Environmental Data Science.
Teaching Team:
- Instructor: Annie Adams
- Teaching Assistant: Alessandra Vidal Meza
- Assignment: Homework 4 - Prioritizing Potential Aquaculture
Author: Ixel M.
Hall, S. J., Delaporte, A., Phillips, M. J., Beveridge, M. & O’Keefe, M. Blue Frontiers: Managing the Environmental Costs of Aquaculture (The WorldFish Center, Penang, Malaysia, 2011).
Gentry, R. R., Froehlich, H. E., Grimm, D., Kareiva, P., Parke, M., Rust, M., Gaines, S. D., & Halpern, B. S. Mapping the global potential for marine aquaculture. Nature Ecology & Evolution, 1, 1317-1324 (2017).︎
GEBCO Compilation Group (2022) GEBCO_2022 Grid
Palomares, M.L.D. and D. Pauly. Editors. (2026). FishBase
This repository was created as an assignment for the graduate course EDS 223: Geospatial Analysis and Remote Sensing in the Masters of Environmental Data Science (MEDS) program, taught by Dr. Ruth Oliver.