spatial

An interactive geocomputational notebook to study spatial clusters and outliers

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

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

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

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

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

Explore the full taxonomy of cross-sectional spatial models --- OLS, SAR, SEM, SLX, SDM, SDEM, SAC, and GNS --- using the Columbus crime dataset in Stata, following Elhorst (2014)

Model spatial spillovers in panel data using the Spatial Durbin Model (SDM), Wald specification tests, and dynamic extensions with the xsmle package in Stata

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

A geocomputational notebook to monitor spatial inequality dynamics.