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Set of applications to visualize SF building energy consumption and greenhouse gas emissions.
I was wondering if we could add a getting started section to the README.md? Something like
step 1. clone repo
step 2. start server
step 3. profit!
since we are using mapbox map tiles, the attribution should be at the bottom of the map.
who wrote the modeling code? we should credit him in the README
choose to display 'GHG emissions' or 'SITE/Source EUI' on map instead of 'Energy Star Score'
When the user clicks on a selected metric:
for instance, College/University
This may be better as for the entire working group, but it's like this:
The brigadeHub folks are doing some good stuff in regards to having a contributing.md doc. Check this out:
https://github.com/sfbrigade/brigadehub/wiki/Contributing
https://github.com/sfbrigade/brigadehub/blob/develop/.github/CONTRIBUTING.md
when switching metrics, something's not refreshing:
in maps, try switching metics to site eui, select "all" explicitly and the histogram distribution changes.
@geoffnet, since you want to get more familiar with D3 this is a good place to implement a common D3 pattern and clean up the code a little.
In main.js there is a switch statement to decide the background color of the switchbox element, but we should be able to use the color
variable, which is a d3 quantize scale.
I believe it would be a matter of changing the switch to something like scorebox.style.backgroundColor = color(escore)
with an if
to set the text color accordingly
using newly released landuse dataset we should be able to grab geojson for individual properties using soda api:
https://data.sfgov.org/resource/a2rp-pwkh.json?block_num=0871&lot_num=016
or
https://data.sfgov.org/resource/a2rp-pwkh.json?blklot=0871016
with the release of new data, we should grab a new geojson file that contains only the parcels that are present.
this should be in the form of a script that makes a SodaQL query to data.sfgov.org
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