Napmd Aust National Air Pollution Monitor Data Api Demo

20 Nov 2024 -

layout: post date: 2024-11-20 —

Australian national-air-pollution-monitor-data-api-demo

The Australian National Air Pollution Monitor Database (NAPMD) was consolidated by the Clean Air and health Research Data and Analysis Technology (CARDAT) platform, overseen by the Centre for Safe Air (CSA) formerly the Centre for Air pollution, energy and health Research (CAR)) and the WHO Collaborating Centre for Climate Change and Health Impact Assessment. It aims to standardise the national collection of data from all government air pollution monitors in Australia.

The database is hosted by the NCRIS facility Terrestrial Ecosystem Research Network (TERN; https://www.tern.org.au/) has been online now for several years however with the new API: https://napmd.cloud.car-dat.org/docs/ (contributed by Dr Grant Williamson at UTas) it has become even easier to use.

The below links provide material for the Hacky Hour workshp for the Centre for Safe Air, Australia.

For your own username and password please email our data curation team at car.data@sydney.edu.au

Materials for this course can be downloaded:

Guide to set up R and Rstudio on Windows and Mac: https://cardat.github.io/DatSciTrain_set_up_R_and_friends/rstudio-setup
A worked example to get air pollution data: https://github.com/cardat/DatSciTrain_napmd_api_demo
A case study of using the data to make a map of air pollution: https://github.com/cardat/DatSciTrain_spatial_interpolation_with_kriging

Workshop Schedule

Date: Wednesday, 20 November
Time: 1:00 - 2:00 PM AEDT

Time	Topic	Objectives
1:00 - 1:05 PM	Acknowledgment of country
1:05 - 1:10 PM	Introduction	Explain the purpose and functionality of the database and API, described here: https://cardat.github.io/napmdtools/index.html
1:10 - 1:15 PM	Additional Setup Assistance	Ensure all participants have completed the setup and are ready to proceed, see https://cardat.github.io/DatSciTrain_set_up_R_and_friends/rstudio-setup
1:15 - 1:35 PM	Using the API	Demonstrate API functionality through three key steps: see https://github.com/cardat/DatSciTrain_napmd_api_demo
		1. Create an API key
		2. Show available functions
		3. Retrieve data using the API
1:35 - 1:50 PM	Analysis with a Spatial Model	Show how to analyze new data retrieved via API and adapt for a different event. See: https://github.com/cardat/DatSciTrain_spatial_interpolation_with_kriging
1:50 - 2:00 PM	Q&A and Wrap-Up	Address participant questions and summarise key takeaways.

Funding

Thanks to the Centre for Safe Air and the Australian Research Data Commons project ‘Integrated national air pollution and health data, Public Sector to Research Sector Bridges’ https://doi.org/10.47486/PS022.

In general these works are licensed under Creative Commons Attribution 4.0 International

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