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uwescience / DSSG2017-Equity

Free and open-source mapping tools and data workflow for visualizing neighborhood data
https://uwescience.github.io/DSSG2017-Equity/
MIT License
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Deal with different geometry granularities #14

Closed bernease closed 7 years ago

bernease commented 7 years ago

@jamr444 and @hillary-dawkins,

I think the best plan of action on the multiple geometries is to create multiple files, a neighborhoods.csv, tracts.csv, and block_groups.csv that hold the data at different levels. This would mean that the crosswalk script outputs the info at all three levels. Also, we may want to generalize the crosswalks script to work with non-Census data as well. That way, we can easily populate the three files when we find outside data at any one of those levels.

bernease commented 7 years ago

So @hillary-dawkins, I'd go ahead and make the assumption that you can find the data in any one of these three files. Feel free to make an example file (even with random numbers!) to test the setup before we get crosswalks script running.

bernease commented 7 years ago

Example of acs upload script output (thanks to @mayahui): https://github.com/uwescience/DSSG2017-Equity/blob/gh-pages/data/scripts/outputs/acs_block_data.json

Example of crosswalks script output: https://github.com/uwescience/DSSG2017-Equity/blob/gh-pages/data/scripts/outputs/acs_tract_data2_neighborhood.csv

hillary-dawkins commented 7 years ago

@jamr444 I added a csv file on the dev-pages branch under data which has all the blocks in the city labelled by geoid and their land and water area. I assume we want to filter and use only the land blocks? But for completeness they're all there for now.

bernease commented 7 years ago

This is done. Thanks to @mayahui.