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Replication Data for: Choma, E. F., Evans, J. S., Gómez-Ibáñez, J. A., Di, Q., Schwartz, J., Hammitt, J. K., Spengler, J. D. (2021). "Health benefits of decreases in on-road transportation emissions in the United States from 2008 to 2017". Accepted for publication at Proceedings of the National Academy of Sciences of the United States of America.

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Choma, E. F., Evans, J. S., Gómez-Ibáñez, J. A., Di, Q., Schwartz, J., Hammitt, J. K., Spengler, J. D. (2021). "Health benefits of decreases in on-road transportation emissions in the United States from 2008 to 2017". Accepted for publication at Proceedings of the National Academy of Sciences of the United States of America.
 
Identifier https://doi.org/10.7910/DVN/V3SXIM
 
Creator Choma, Ernani
 
Publisher Harvard Dataverse
 
Description This dataset contains code and data to replicate the results of the study:
Choma, E. F., Evans, J. S., Gómez-Ibáñez, J. A., Di, Q., Schwartz, J., Hammitt, J. K., and Spengler, J. D. (2021). Health benefits of decreases in on-road transportation emissions in the United States from 2008 to 2017. Accepted for publication at Proceedings of the National Academy of Sciences of the United States of America.

This dataset includes code (in the format of R scripts), the data used that was not publicly available, and results (including data files and manuscript figures). Downloads of publicly available data are required to execute the code and reproduce our results, and detailed descriptions of where and how to download the data are provided in documentation files.

Main Documentation File: Documentation_ReadMe.txt

Our model was implemented in R v.3.5.1 [1], using R packages “rgeos” v.0.5-2 [2]; “raster” v.2.6-7 [3]; “sp” v.1.3-1 [4]; “geosphere” v. 1.5-10 [5]; “ncdf4” v.1.16 [6]; “nlme” v.3.1-137 [7]; “mgcv” v.1.8-24 [8]; “viridis” v.0.5.1 [9]; “viridisLite” v.0.3.0 [10]; and “gridExtra” v.2.3 [11].

References:
1. The R Foundation for Statistical Computing, R version 3.5.1 (2018-07-02) -- "Feather Spray" (2018).
2. R. Bivand, C. Rundel, R package “rgeos”: Interface to Geometry Engine – Open Source (‘GEOS’). Package version: 0.5-2 (2019).
3. R. J. Hijmans. R package “raster”: Geographic Data Analysis and Modeling. Package version: 2.6-7 (2017).
4. E. Pebesma, R. Bivand, R package “sp”: Classes and Methods for Spatial Data. Package version 1.3-1 (2018).
5. R. J. Hijmans, R package “geosphere”: Spherical Trigonometry. Package version: 1.5-10 (2019).
6. D. Pierce, R package “ncdf4”: Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files. Package version: 1.16 (2017).
7. J. Pinheiro, D. Bates, R package “nlme”: Linear and Nonlinear Mixed Effects Models. Package version: 3.1-137 (2018).
8. S. Wood, R package “mgcv”: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation. Package version: 1.8-24 (2016).
9. S. Garnier, R package “viridis”: Default Color Maps from ‘matplotlib’. Package version: 0.5.1 (2018).
10. S. Garnier, R package “viridisLite”: Default Color Maps from ‘matplotlib’ (Lite Version). Package version: 0.3.0 (2018).
11. B. Auguie, R package “gridExtra”: Miscellaneous Functions for “Grid” Graphics. Package version: 2.3 (2017).
 
Subject Earth and Environmental Sciences
Medicine, Health and Life Sciences
particulate matter
transportation
air pollution
public health
climate change
marginal damages
risk assessment
 
Contributor Choma, Ernani