Nathaniel Henry 10/14/25 Nathaniel Henry 10/14/25

Guest Post: Identifying Supermarkets in OpenStreetMap and Overture Maps with Machine Learning

Supermarkets shape neighborhood livability. Machine learning models can accurately identify supermarkets in open spatial datasets like OpenStreetMap and Overture Maps, reducing manual verification and enhancing mapping of essential community infrastructure.

Colin Simpson 5/12/25 Colin Simpson 5/12/25

Model-Based Geostatistics (R-Package)

The mbg package provides a simple interface to run spatial machine learning models and geostatistical models that estimate a continuous (raster) surface from point-referenced observations and, optionally, a set of raster covariates. The package also includes functions to summarize raster estimates by (polygon) region while preserving uncertainty.

Nathaniel Henry 4/26/25 Nathaniel Henry 4/26/25

Mapping the Missing Housing Opportunities in Seattle’s Growth Plan

Nathaniel Henry 1/31/25 Nathaniel Henry 1/31/25

Case Study: Interactive Maps Empower a National HIV Program

We developed interactive web maps of HIV in Malawi, enabling HIV program managers to explore HIV viraemia, prevalence, and treatment data across health facility service catchments.

Nathaniel Henry 1/16/25 Nathaniel Henry 1/16/25

Case Study: Machine Learning Reveals Key Predictors of Child Mortality

We analyzed tens of thousands of machine learning models to identify the most influential factors contributing to child mortality across seven countries. Our findings can be used to develop targeted interventions that address the specific needs of vulnerable populations.