COVID-Weather / covid-environmental-factors

Analysis of COVID19 infection rates and their environmental conditions
GNU General Public License v3.0
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Gather spatial data #8

Open hdrake opened 4 years ago

hdrake commented 4 years ago

In particular, to aggregate gridded data sets in specific geopolitical regions, we need

jproctor91 commented 4 years ago

Added adm2 shapefiles for China and Italy to the dropbox. We now have all the shapefiles that link to the data from Hsiang2020. Got the same shapefiles that they used in their analysis (including the adm1 shapefile) so the env and epi data should (in theory) merge easily.

hdrake commented 4 years ago

@jproctor91 I've now processed the Adm1 data for China and Italy in this notebook of https://github.com/COVID-Weather/covid-environmental-factors/pull/18. I only just read this and realized that I also have Adm2 for both... I can try to downscale to admin2 this week... may take me a while just because of string-matching between all of the various datasets...