Published May 13, 2025 | Version v3
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XIS: A daily spatiotemporal machine-learning model for environmental exposures in the contiguous United States

Description

These Parquet files contain the outputs used for many analyses and plots in the linked papers. For temperature and humidity, the full sets of observations for cross-validation aren't included because we used restricted-use MADIS data.

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md5:9d3ee6b6f5abc19c3045d806ffcd719c
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Additional details

References

  • Just, A. C., Arfer, K. B., Rush, J., Lyapustin, A., & Kloog, I. (2025). XIS-PM_{2.5}: A daily spatiotemporal machine-learning model for PM_{2.5} in the contiguous United States. Environmental Research, 271. doi:10.1016/j.envres.2025.120948. Retrieved from http://arfer.net/projects/xis/paper-pm25.pdf
  • Just, A. C., Arfer, K. B., Rush, J., & Kloog, I. (2025). XIS-Temperature: A daily spatiotemporal machine-learning model for air temperature in the contiguous United States. Environmental Research, 270. doi:10.1016/j.envres.2024.120731. Retrieved from http://arfer.net/projects/xis/paper-temperature.pdf
  • Arfer, K. B., & Just, A. C. (forthcoming). XIS-Humidity: A daily spatiotemporal machine-learning model for dew point in the contiguous United States.