Urban Data

UPPP 214 - Week 2

Overview

Working with Urban Data

  1. kinds of data
  2. sources
    1. volunteered
    2. public
    3. private
  3. standards & formats
  4. importance of location

why care

using urban data

  • understand what happens in the world and confidently deliver to constituents
  • quantify recommendations
  • facilitate conversations between diverse experts and stakeholders
  • identify biases in data
  • understand others’ positions and evidence to support them

kinds of data

what do we measure?

data

Tip

Don’t forget to do the reading! This is all written in a system called quarto

  • travel behavior
  • people and demographics
  • area and proximity (geospatial measurements)
  • built environment
  • spatial policy boundaries (jurisdictions)
  • economic behavior
  • infrastructure
  • weather and temperature
  • land & water consumption
  • preferences
  • natural environment
  • institutions: schools, police, fire, EMTs
  • public health
  • environmental conditions
  • land-use
  • labor markets

sources

data sources

  • census (people)
    • decennial
    • American Community Survey (ACS)
  • local government
  • IRS (?())
  • Bureau of Labor Statistics
  • Bureau of Economic Analysis
  • US Geological survey (USGS)
  • dept of transportation
  • dept of housing and urban development
  • environmental protection agency
  • NOAA national oceanic and atmospheric agency
  • fish and wildlife
  • CNDDB cal national diversity database (endangered species)
  • CDC & CDPH
  • openstreetmap

government

census

FIPS codes

Guide to FIPS Codes

FIPS Code diagram

if i want all census tracts in OC, then i need all FIPS codes that begin with 06059

state and local data

open data

specifications, standards and formats

tidy data

tidy data

“tidy” data

standard formats

location

why is space important?

space

  • data management
  • visualization
  • relationships

spatial primitive types

  • point
  • line
  • polygon