Air pollution can feel like a giant, overwhelming issue, but the goal of this project is to make air quality (AQ) information accessible and understandable for everyone. The name ‘biteSizedAQ’ serves as a reminder that even the largest problems can be tackled with small, manageable steps. Instead of feeling overwhelmed, we can break down the air pollution challenge into smaller tasks, taking each one step at a time. By consistently taking these bite-sized, smart steps, we can collectively make significant progress in managing air pollution.
All projects under this repository are free and open, provided under the CC BY 4.0 International License. This ensures that anyone can use, share, and build upon the work, making air quality information more open and accessible for all.
This repository will continue to grow with new projects as and when I find time. To kick things off, check out the first few projects below!
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The number prefix at the start of every project folder/Rmd name is the project id under this repo.
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The latest project will show up top.
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E.g. Project 1 has the id 1. It corresponds to a project folder named
1.ind.block.pm2.5.sat.data.processing
which contains the project’s README file. In case of a project involving code and data an additional Rmd (with the same name as the project folder name) containing code can be found at the root of the biteSizedAQ repo. -
The corresponding helper R script(s) for different projects can be found under
R/
subfolder. These scripts will be grouped in broad themes. E.g. all satellited derived data processing functions will be in the sat data helper script and the names are descriptive enough for it to be easily identifiable.
Project 10: biteSizedVisual #3 - Air Quality Data Deficit: 45% of Nations Either Don’t Monitor or Monitor but Don’t Share Any Data
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See the Visual and blog here.
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Underlying README Rmd file with R code used to generate the visual can be found here.
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Rmd for the blog can be found in the project’s respective folder number. Here is a quick link to access it.
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Final processed data used to generate the visual: Link. This is the same as the 2024 Open AQ Global Landscape Report Worksheet with countries and their tags, with an added data_sharing_status column for plotting purposes.
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Data Dictionary: Link
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High resolution PNG file for the Visual for quick sharing: Link
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See the Visual and blog here.
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Underlying README Rmd file with R code used to generate the visual can be found here.
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Rmd for the blog can be found in the project’s respective folder number. Here is a quick link to access it.
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Final processed data used to generate the visual: Link
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Data Dictionary: Link
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High resolution PNG file for the Visual for quick sharing: Link
Project 8: biteSizedAQ is excited to present a virtual poster at the American Geophysical Union (AGU) 2024 Meeting!
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Read all details about the presentation, how to attend and more here.
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View the Interactive Poster in AGU 2024 i poster gallery here.
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See the Visual and blog here.
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Underlying README Rmd file with R code used to generate the visual can be found here.
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Rmd for the blog can be found in the project’s respective folder number. Here is a quick link to access it.
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Final processed data used to generate the visual: Link
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Data Dictionary: Link
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PNG file for the Visual for quick sharing: Link
Project 6: Computing with Conscience: Evolving from Carbon Aware to Grid Aware for Truly Sustainable Computing
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Read the blog here.
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Underlying README Rmd file can be found in the project’s respective folder number and here is a quick link to access it.
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Read the blog here.
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Underlying README Rmd file can be found in the project’s respective folder number and here is a quick link to access it.
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Read the blog here.
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Underlying README Rmd file can be found in the project’s respective folder number and here is a quick link to access it.
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Read the blog here.
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Underlying README Rmd file can be found in the project’s respective folder number and here is a quick link to access it.
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Read the blog here.
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Underlying README Rmd file can be found in the project’s respective folder number and here is a quick link to access it.
Project 1: Block level satellite derived population weighted air pollution dataset for India from 1998-2022
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Read more about this project and download proccessed data from here. This folder is present at the root of the repo.
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Data Processing pipeline Rmd file for this project: Also, present at the root of the biteSizedAQ repo. Here is a quick link to access the pipeline.