Published February 28, 2023
| Version v1
Preprint
Open
Data-driven placement of PM2.5 air quality sensors in the United States: An approach to target urban environmental injustice
Authors/Creators
- 1. Harvard University
- 2. University of California, Irvine
- 3. Washington University in St. Louis
- 4. University of Washington
Description
Code for the preprint "Data-driven placement of PM2.5 air quality sensors in the United States: An approach to target urban environmental injustice". The zipped file contains R code to generate figure plots from the preprint, and Matlab code to run the cost-constrained mrDMD for all cities mentioned in the text (St. Louis, Houston, Buffalo, and Boston).
Files
EJ sensors mkelp 2023.zip
Files
(1.3 GB)
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md5:6b584f17413c6e6cb119f24943b03f83
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1.3 GB | Preview Download |