python

A beginner-friendly, comprehensive introduction to Random Forest regression for continuous data, evaluated end-to-end with 5-fold cross-validation and out-of-fold predictions on Bolivian satellite imagery

Learning econometrics should be a more accessible and interactive experience.

An introduction to econometrics with Python and AI in the cloud

A Data Science Repository to Study GeoSpatial Development in Bolivia

A public access platform for the analysis, monitoring, and evaluation of sustainable regional development in Cambodia

Computational data science notebooks and apps to foster development studies.

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.

This paper introduces a user-friendly geocomputational notebook that illustrates how to process and analyze satellite NTL images.

An interactive geocomputational notebook to study spatial clusters and outliers

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