43.2 DatSci_weather_sa1_2016_1910_2022
| metadata_field | |
|---|---|
| shortname | DatSci_weather_sa1_2016_1910_2022 |
| title | DatSci_weather_sa1_2016_1910_2022 |
| creator | Ivan Hanigan |
| contact_email | car.data@sydney.edu.au |
| abstract |
Based on Australian Gridded Climate Data ( AGCD ) / The Australian Water Availability Project (AWAP) ; v1.0.1 Snapshot (1900-01-01 to 2022-12-31) Available from the NCI https://dapds00.nci.org.au/thredds/catalogs/zv2/agcd/agcd.html and Australian Bureau of Statistics population data and census geographic boundary areas This is a code repository with demo data and the ability to run on data hosted by CARDAT. https://github.com/cardat/DatSci_weather_sa1_2016_1910_2022. The method of population weighted weather estimates is similar to Option 5 demonstrated in our paper Hanigan, I., Hall, G. & Dear, K.B. A comparison of methods for calculating population exposure estimates of daily weather for health research. Int J Health Geogr 5, 38 (2006). https://doi.org/10.1186/1476-072X-5-38 The AWAP / AGCD Dataset compiled by The Australian Government, Bureau of Meteorology; The Australian Water Availability Project; The AusCover facility of the Terrestrial Ecosystem Research Network (TERN). |
| additional_metadata | /home/public_share_data/ResearchData_CAR/https://github.com/cardat/DatSci_weather_sa1_2016_1910_2022 |
| alternate_identifier | https://github.com/cardat/DatSci_weather_sa1_2016_1910_2022 |
| associated_party | |
| access_rules | Public |
| Recommended Citation | Hanigan, I.C. (2023). Weather_sa1_2016_1910_2022. Data derived from Australian Bureau of Meteorology AWAP/AGCD weather grids and the Bureau of Statistics census 2016 SA1 polygons and population counts data. https://github.com/cardat/DatSci_weather_sa1_2016_1910_2022 Accessed from CARDAT. |
| licence_code | No licence |
| accessibility |