The goal of aqverse is to enable replication of our analysis that feeds into our reports, map and our website. Upcoming versions of this package will have all functionality in-built in our underlying satellite data processing pipeline and this will serve as a meta-package for all other packages.
You can install the development version of aqverse from GitHub with:
# devtools::install_github("aqli-epic/aqverse")Once installed, load the package into your R environment as follows
library(aqverse)
AQLI June 2022 report data can be downloaded from the AQLI website index page, or you could write to us at aqli-info@uchicago.edu. In the last quarter of 2023 AQLI will be releasing a new and updated version of this report.
This package in its current state contains a total of 8 functions and is under active development which allows you to do the following tasks:
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Collapse AQLI district (gadm2) level pollution and life years lost datasets to gadm1 (state/province), gadm0 (country) and continent level.
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Plot AQLI pollution and potential life expectancy gains maps for countries, states, districts (in AQLI color scale).
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Do country level comparisons of life expectancy lost to PM2.5 with other threats to life expectancy (Global Burden of Disease).
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Plot bar graphs for ‘n’ most/least polluted regions in a given country (in AQLI color scale).
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Plot bar graphs with ‘n’ most/least life years lost to air pollution in a given country/state/continent (in AQLI color scale).
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Plot distribution of pollution and life years lost in a given region.
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Add standardized themes to AQLI plots
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Plot timeseries plots for understanding pollution and life years lost trends.