wildfire-influence

Repo supporting Burke et al 2023 "The contribution of wildfire to PM_2.5 trends in the USA".

Results from the paper are in the figures/clean and tables/clean folders. Code to replicate results are in the scripts folder. Data are in Dropbox.

How to replicate results

1. Download this repository.
2. Download the Dropbox folder. Place files downloaded from Dropbox in the same folder as the downloaded GitHub repository.
3. Change settings in scripts/setup/00_03_load_settings.R:
   1. Set path_dropbox to the location of the data downloaded from Dropbox.
   2. Set path_github to the location of this downloaded repository's root.
4. Install packages by running scripts/setup/00_00_install_packages.R.
5. Set working directory to this downloaded repository's root.
6. Run scripts in scripts/main.

Computational environment

R version 4.3.0 (2023-04-21)
Platform: x86_64-apple-darwin20 (64-bit)
Running under: macOS Ventura 13.3.1

Matrix products: default
BLAS:   /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib 
LAPACK: /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/lib/libRlapack.dylib;  LAPACK version 3.11.0

GEOS 3.11.2
GDAL 3.6.4
PROJ 9.2.0

R packages versions are specified in scripts/setup/00_00_install_packages.R and below.

attached base packages:
[1] parallel  stats     graphics  grDevices datasets  utils     methods   base     

other attached packages:
 [1] callr_3.7.0         tictoc_1.2          doFuture_1.0.0      doRNG_1.8.6         rngtools_1.5.2     
 [6] future.callr_0.8.1  future.apply_1.11.0 future_1.32.0       doParallel_1.0.17   iterators_1.0.14   
[11] foreach_1.5.2       scales_1.2.1        usmap_0.6.1         MetBrewer_0.2.0     ggridges_0.5.3     
[16] ggforce_0.4.1       geofacet_0.2.0      cowplot_1.1.1       gtable_0.3.1        strucchange_1.5-3  
[21] sandwich_3.0-1      zoo_1.8-9           robslopes_1.1.3     fixest_0.11.1       feather_0.3.5      
[26] forcats_1.0.0       stringr_1.5.0       dplyr_1.1.2         purrr_1.0.1         readr_2.1.4        
[31] tidyr_1.3.0         tibble_3.2.1        ggplot2_3.4.2       tidyverse_2.0.0     magrittr_2.0.3     
[36] tigris_2.0.3        sf_0.9-8            lubridate_1.9.2    

loaded via a namespace (and not attached):
 [1] tidyselect_1.2.0    farver_2.1.1        tweenr_2.0.2        digest_0.6.27       timechange_0.2.0   
 [6] lifecycle_1.0.3     dreamerr_1.2.3      processx_3.5.2      compiler_4.3.0      rlang_1.1.1        
[11] tools_4.3.0         utf8_1.2.2          sp_1.6-0            classInt_0.4-8      plyr_1.8.6         
[16] imguR_1.0.3         geogrid_0.1.1       KernSmooth_2.23-20  withr_2.5.0         numDeriv_2016.8-1.1
[21] grid_4.3.0          polyclip_1.10-4     fansi_1.0.4         e1071_1.7-12        colorspace_2.1-0   
[26] globals_0.16.2      MASS_7.3-58.2       cli_3.6.0           generics_0.1.0      rstudioapi_0.14    
[31] httr_1.4.6          tzdb_0.1.2          DBI_1.1.3           proxy_0.4-27        splines_4.3.0      
[36] rnaturalearth_0.3.2 vctrs_0.6.2         jsonlite_1.8.4      hms_1.1.3           ggrepel_0.9.3      
[41] Formula_1.2-4       listenv_0.9.0       jpeg_0.1-10         import_1.3.0        units_0.8-2        
[46] parallelly_1.35.0   glue_1.6.2          ps_1.6.0            codetools_0.2-19    stringi_1.7.5      
[51] munsell_0.5.0       pillar_1.9.0        rappdirs_0.3.3      R6_2.5.1            lattice_0.20-45    
[56] png_0.1-8           segmented_1.6-4     renv_0.14.0         class_7.3-21        Rcpp_1.0.10        
[61] uuid_0.1-4          gridExtra_2.3       nlme_3.1-161        rgeos_0.6-1         pkgconfig_2.0.3