spatial

Regional dynamics of VIIRS-like nighttime lights 1992-2023

An interactive exploration of the space-time dynamics of mean luminosity using the VIIRS-like data over the 1992-2023 period.

Space-time dynamics of nighttime lights: VIIRS-annual data

An interactive exploration of the space-time dynamics of nighttime lights using VIIRS-annual data.

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

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

Exploratory Spatial Data Analysis (ESDA)

An interactive geocomputational notebook to study spatial clusters and outliers

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

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

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

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

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.