sleep study

[tibbben]

The list of join layers for the sleep study:

• county parks: https://gis-mdc.opendata.arcgis.com/datasets/a2cbc77f2f9e4e698aaa72f8c5d2db33_0/explore
• city parks: https://gis-mdc.opendata.arcgis.com/datasets/16fe02a1defa45b28bf14a29fb5f0428_0/explore
• area of parks within 3-mile buffer zip-code
• area of parks within 1-mile buffer zip-code
• NDVI
• SVI Socio-economic census tract (see below)
• SVI Racial and ethnic census tract (see below)
• temperature as average for polygon (max temp across ten years, identifies hot spots)
• tree cover as average for polygon
• elevation as average for polygon (perhaps proxy for humidity)
• noise: howloud.com
• air quality: IQ air

The article with the variable list for SVI
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531179/

todo

• create fake dataset that is private
• set up joins for fake dataset (similar to CAMP parcels)
• zip codes for miami dade
• parks as points??

[tibbben]

howload aggregates:

• set up cron machine to collect data
• decide on aggregate strategy

[tibbben]

List of SVI variables:

• SVI socio-economic census tract
  • Below poverty
  • Unemployed
  • Mean income
  • No high school diploma
• SVI racial and ethnic census tract
  • Minority status and language
    • Minority
    • Low English proficiency
• SVI  Household composition and disability
  • Age ≥65 y
  • Age ≤ 17 y
  • Civilian with a disability
  • Single-parent households
• SVI Housing and transportation
  • Multiunit structures
  • Mobile homes
  • Crowding
  • No access to vehicle
  • Group quarters