Spatial clusters of deprivation and their patterns
Finding density of places, service deserts using Google and OSRM.
A brief introduction to network analysis.
Classification trees, random forests, neural networks and the like.
Parsing data that is served through REST API.
Geospatial data in R, using Citi Bike Share in New York city as a case.
Introduction to R and some exploratory graphics using air pollution data in the US.
A short course on urban analytics in R. And a critical look at urban analytics.
Spatial cluster detection.
McMillen method of identifying outliers in local neighborhood.