Stanford Future Bay Initiative
1
Introduction
1.1
Software Setup
1.2
RStudio Interface
1.3
R Markdown Files
1.4
GitHub
1.5
Reading and saving files
1.6
Loops
1.7
Manipulating data
1.8
Plots
1.9
Geospatial data
1.10
Assignment 1
2
Populations
2.1
Census data
2.2
Equity analysis
2.3
Migration
2.4
Microdata
2.5
Spatial subsets
2.6
Assignment 2
3
Statistics, Part 1
3.1
Probability distributions
3.2
Monte Carlo simulations
3.3
Simple linear regression
3.4
Sampling bias
3.5
Multiple regression
3.6
Assignment 3
4
Statistics, Part 2
4.1
Logistic regression
4.2
Training and testing data
4.3
Matching
4.4
Difference-in-differences
4.5
Assignment 4
5
Mobility
5.1
Travel survey data
5.2
Commute data
5.3
Routing
5.4
Accessibility
5.5
Assignment 5
6
Land Use
6.1
Housing data
6.2
Parcel data
6.3
Census-to-parcel disaggregation
6.4
Parcel and building geometries
6.5
Address geocoding and matching
6.6
Assignment 6
7
Sustainability
7.1
Vehicle emissions
7.2
Building emissions
7.3
Air pollution data
7.4
Household consumption
7.5
Assignment 7
8
Hazards
8.1
Hazard data
8.2
Exposure data
8.3
Vulnerability data
8.4
Risk estimation
8.5
Assignment 8
9
Web Applications
9.1
Dashboards
9.2
Assignment 9
Shaping the Future of the Bay Area: Intro to Urban Data Analytics in R
7.4
Household consumption