Reproducible code for "Assessing the Importance of Spatial Scale in Climate-Health Models: the Effect of Temperature on Emergency Department Visits in Richmond, Virginia"
Authors/Creators
- 1. Environmental Institute, University of Virginia, Charlottesville, VA 22904, USA
- 2. School of Public Health and Department of Orthopaedic Surgery, School of Medicine, University of Virginia, Charlottesville, VA 22904, USA
- 3. School of Nursing, University of Virginia, Charlottesville, VA 22904, USA
- 4. Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA
Description
This release provides the complete code and analysis workflow presented in:
Le-Huynh, T.-L., Novicoff, W. M., DeGuzman, P. B., & Davis, R. E. (2026). Assessing the importance of spatial scale in climate-health models: The effect of temperature on emergency department visits in Richmond, Virginia. GeoHealth, 10, e2026GH001852. https://doi.org/10.1029/2026GH001852
It includes scripts for data preparation, statistical modeling, and visualization, as well as the full analysis workflow organized for reproducibility.
Due to data-use agreements and file-size limitations, raw health data (Virginia APCD) and some derived datasets are not included. Publicly available datasets used in the study (e.g., weather station, climate reanalysis, and social vulnerability index data) can be accessed through their respective sources as described in the repository documentation.
The full analytical workflow can be reproduced using the provided Makefile, which automates the processing, analysis, and figure-generation steps.
Files
le-huynh/2026_LeHuynh_multiscale-v1.0.0.zip
Additional details
Related works
- Is supplement to
- Journal article: https://doi.org/10.1029/2026GH001852 (URL)
Software
- Repository URL
- https://github.com/le-huynh/2026_LeHuynh_multiscale
- Programming language
- R , Makefile
- Development Status
- Active