README-NOT.md

The ultimate goal here is to build a digital dashboard for sustainable cities. We’re focusing on a few interesting contributing bits to this effort, using LA as an example:

• Describe framework for a sustainable city index based on Ocean Health Index a la sustainsb.github.io.

  

• Assign weights on relative importance of goals using Twitter to assess social value [#2].

  • twitterSearch.R

• Describe candidate data layers for Los Angeles [#4].

  • LA data sources:

    • data.lacity.gov
    • geohub.lacity.org
    • gisdata.scag.ca.gov

  • LA data applications:

    • dashboard.lamayor.org
    • pLAn.lamayor.org
    • UrbanMobilityLA.com/data
    • VisionZero.lacity.org

  • data layers:

    • Greenhouse Gases from report Southern California Association of Governments (SCAG) Regional Greenhouse Gas Emissions Inventory and Reference Case Projections, 1990-2035

      • use ropensci/tabulizer to extract table from pdf

      • context: GHG Protocol for Cities

    • Transportation from report SCAG Regional Travel Demand Model and 2012 Model Validation: could map table of values by LA regions

• Calculate scores automatically using Travis Continuous Integration, using sustainsb.github.io fetching USGS groundwater measurements as an example [#1].

• Tweak rstudio/leaflet to allow for choropleth maps with select dropdown list, rather than simple show/hide layers [#3].

We’ll populate these into the LA public Trello board of projects to recruit fellow city data scientist enthusiasts.

PS: we have a spin-off of this: a quantified self package for collecting, visualising and archiving data about yourself called selfquant