regional

Space-time dynamics of nighttime lights: DMSP-like data

An interactive exploration of the space-time dynamics of nighttime lights using DMSP-like data.

Studying spatial heterogeneity

A geocomputational notebook to study spatial heterogeneity using the GWR and MGWR frameworks.

Construct and export spatial connectivity structures (W)

An introduction to how to construct, explore, and export spatial connectivity structures (W) using Python.

Cross-Sectional Spatial Regression in Stata: Crime in Columbus Neighborhoods

Does crime spill over from one neighborhood to the next? Using data on 49 neighborhoods in Columbus, Ohio, in Stata, we compare models in which crime, income and housing values in nearby areas also matter, and find that higher income lowers crime both in a neighborhood and next door. It comes with an interactive app that runs in your web browser.

Spatial Panel Regression in Stata: Cigarette Demand Across US States

Do cigarette prices in one state change how much people smoke in neighboring states? Using data on 46 American states from 1963 to 1992 in Stata, we model cross-border shopping and smoking habits, and find that ignoring neighbors understates how much prices matter. It comes with an interactive app that runs in your web browser.

Monitoring subnational human development

A geocomputational notebook to monitor subnational human development using Python. Besides exploratory data analysis, the notebook introduces geospatial mapping, spatial dependence, and spatial inequality.

Spatial inequality dynamics

A geocomputational notebook to monitor spatial inequality dynamics.

Monitoring regional sustainable development

Learn to map and monitor regional development across Bolivia with Python. The notebook shows how to explore the data, draw maps, and detect spatial patterns of inequality.