Display socio-economic and ES variables for context, as user's explore map

[davemfish]

It's useful to display the socio-econ context of the parcel/study area that people are using in scenarios.

And we should display the ES context from a baseline run for the city.

[davemfish]

We need to discuss how to join data based on census tracts to spatial units that are meaningful in the app, such as parcels, servicesheds, study areas, etc.

Chris will provide static data from census tracts.

[davemfish]

Based on our discussion yesterday, this was not among the features we considered critical for the next demo, so I'm bumping the milestone.

[davemfish]

As discussed in a meeting today:

Baseline equity data will be pre-computed for a city. We can present that data for a city, maybe including a scatterplot and map. And point out where in the city a user's study area is.

After running a scenario, we can say things, like, "you are making the city more/less equitable". "you are decreasing heat in an area of the city that experiences higher heat than average"

If baseline equity data is rasterized, weighted by population density, then we can easily extract values for an arbitrary study area.

But before doing that rasterization, we might just add an equity index variable to the ACS census data we already display. We'll likely have a variable related to urban heating & nature access.

[davemfish]

See also #133 , it's likely that the city-wide runs will be need to re-computed whenever the LULC and parameter tables are updated.

[davemfish]

As discussed in today's meeting:

We should update the equity metrics to use slightly different ACS demographic & poverty-related variables, opting to not use SNAP-related variables. This will mean we need re-computed equity index/covariance scores and updated tables from Chris. These are the tables described in "InVEST Citywide December 2023" section of Chris's readme: https://docs.google.com/document/d/1C_wY5ICfTzv7qSLceM-DIENXRHaD2XQC-XSWb4O_JfE/edit

We also discussed the usefulness of mapping those equity index scores so that users can select their study area based on that knowledge. There's an open question of whether we can come up with a single equity index that integrates multiple ecosystem services & socio-economic variables, or whether we will have multiple map layers with different ES-socioecon pairings, which could get a bit overwhelming for the user.

Any visuals, whether maps or plots, should help the user to easily orient to where that census tract or study are is located with respect to citywide averages/medians for respective ES and socio-econ metircs.

Jess & Eric will discuss what the relevant metrics should be.

[davemfish]

Chris is going to send over a table that can be used to make the bivariate map of urban cooling vs. income. Joined to census block groups.

[davemfish]

Done in #141