Published April 21, 2026 | Version 1
Dataset Open

Utility-scale wind and solar project siting prediction surfaces for the United States

Authors/Creators

  • 1. EDMO icon University of California, Santa Barbara

Description

These 8 rasters are results stemming from the following publication:
 
Wu, Grace C., Yohan Min, Ranjit Deshmukh, et al. 2026. “Factors Shaping the Siting of Utility-Scale Solar and Wind Projects in the United States.” Environmental Research Letters. https://doi.org/10.1088/1748-9326/ae5faa.
 
The file in this respository are as follows:
  1. pred_lasso_s.tif: prediction surface for solar (s) using lasso regression
  2. pred_lasso_w.tif: prediction surface for wind (w) using lasso regression
  3. pred_logReg_s.tif: prediction surface for solar (s) using logistic regression
  4. pred_logReg_w.tif: prediction surface for wind (w) using logistic regression
  5. pred_randomForest_s.tif: prediction surface for solar (s) using random forest
  6. pred_randomForest_w.tif: prediction surface for wind (w) using random forest
  7. pred_xg_s.tif: prediction surface for solar (s) using XGboost
  8. pred_xg_w.tif: prediction surface for wind (w) using XGboost
Higher values indicate higher probability of siting, lower values indicate lower probability of siting. Values range fro 0 to 1. See manuscript for details on how each raster was generated. See https://spatialclimatesolutions.github.io/siting_dashboard for interactive visualizations of these data. 

Files

pred_lasso_s.tif

Files (3.8 GB)

Name Size Download all
md5:924aaa41ad130498a645b1fb2f616cc6
591.5 MB Preview Download
md5:19b216b139478bfb1a9739f1bbf4db4d
593.1 MB Preview Download
md5:28357f917ec4f085269b6736f8d19647
592.4 MB Preview Download
md5:43a6881764bdeea7fb9548a6f22f41f5
596.5 MB Preview Download
md5:2e119978fc1750cbccd04e62b1de4c23
225.1 MB Preview Download
md5:8fd43a9aa7768e163590a6bcc4a9e9b5
248.0 MB Preview Download
md5:8d859814218a7309fa55cf65eb75772f
468.9 MB Preview Download
md5:a5c743af1bfca64ed0a07b74ddbb5ae6
456.2 MB Preview Download

Additional details

Related works

Is part of
Publication: 10.1088/1748-9326/ae5faa (DOI)

Dates

Available
2026-04-21
Release date associated with publication

Software

Repository URL
https://github.com/spatialClimateSolutions/energySiting_analysis
Programming language
R
Development Status
Active

References

  • Wu, Grace C., Yohan Min, Ranjit Deshmukh, et al. 2026. "Factors Shaping the Siting of Utility-Scale Solar and Wind Projects in the United States." Environmental Research Letters. https://doi.org/10.1088/1748-9326/ae5faa