19ai / deines_etal_2020_agwat_ogallalatransistions

Codebase and derived data for Deines et al. 2020, Agricultural Water Management

Deines et al. 2020: Derived data and analysis code

21 February 2020
Code by: Jillian Deines with contributions from Samuel Zipper and Caitlin Rottler
Contact: [email protected]

This codebase accompanies the paper:

Deines, J.M., M.E. Schipanski, B. Golden, S.C. Zipper, S. Nozari, C. Rottler, B. Guerrero, & V. Sharda. 2020. Transitions from irrigated to dryland agriculture in the Ogallala Aquifer: Land use suitability and regional economic impacts. Agricultural Water Management 233:106061. DOI: https://doi.org/10.1016/j.agwat.2020.106061

Contents

Data

• Data needed to reproduce the figures from Deines et al. 2020 can be found in the data folder.
• Input data such as groundwater level projections and annual irrigation maps consist of large, publicly available geospatial files. The code accesses these through pre-ingested assets in Google Earth Engine. Permanent locations for these source data that do not require a Google Earth Engine account include:
  • Annual irrigated areas as mapped in Deines et al. 2019 using Landsat satellite data are also available for download at Hydroshare; DOI https://doi.org/10.4211/hs.a371fd69d41b4232806d81e17fe4efcb.
  • Groundwater level maps available from XXX and described in Haacker et al. 2016
  • USDA NASS Cropland Data Layers are available from https://nassgeodata.gmu.edu/CropScape/
  • NRCS gSSURGO soil data are available from https://nrcs.app.box.com/v/soils

Code

Script filenames are numbered by manuscript figure numbers. Code primarily uses R Markdown (*.Rmd) within an R project structure. Operational scripts have extension .Rmd; knitted outputs in .md (for easing viewing on Github) and .html (for desktop viewing) are also provided. When this repository is cloned into an R project, the here package should manage all relative filepaths.