Can satellite images tell us how well each municipality in Bolivia is developing? This beginner-friendly Python tutorial trains a random forest, a machine learning model that averages many decision trees, tests it on places it never saw, and finds that the images hold real but limited information. It comes with an interactive app that runs in your web browser.
Build econometric understanding through this Python companion to Cameron’s Analysis of Economics Data. Seventeen chapters connect statistical foundations, regression, panel data, and causal inference with real-data notebooks that run in the browser. Visual summaries, slides, quizzes, videos, podcasts, and AI tutors provide varied ways to explore the concepts and reinforce practical skills.
A repository of spatial and socioeconomic data for studying local development in Bolivia, with linked datasets, interactive maps, and notebooks for reproducible analysis.
An observatory combining development indicators, analysis tools, and research insights to support the study and monitoring of sustainable regional development across Cambodia.
Through the lens of a multiscale geographically weighted regression (MGWR) and an updated inference framework, we assess the spatial scale at which political and socioeconomic factors affect violence.