Software
I develop open-source software that makes model-based geostatistics and spatial epidemiology methods accessible to researchers, students, and public-health practitioners. Everything below is free and open source.
R packages
SDALGCP
An R package for spatially continuous inference with spatially aggregated disease count data, using a low-rank approximation to the log-Gaussian Cox process for computational efficiency.
remotes::install_github("olatunjijohnson/SDALGCP")ESPENAPI
An R package for downloading Neglected Tropical Disease (NTD) data directly from the WHO ESPEN portal API and the WHO Global Health Observatory, returning tidy data frames ready for analysis.
remotes::install_github("olatunjijohnson/ESPENAPI")MBGapp
An R package and Shiny application for teaching model-based geostatistics, walking learners through the full workflow: exploration → variogram → model fitting → prediction. Published in PLOS ONE (2021).
remotes::install_github("olatunjijohnson/MBGapp")variogramApp
An R package and Shiny application for interactively exploring variograms and Gaussian random fields — a hands-on teaching tool for understanding spatial correlation across twelve covariance models.
remotes::install_github("olatunjijohnson/variogramApp")Shiny applications
MBGapp
Interactive model-based geostatistics for population-health scientists, using a Loa loa case study. Runs entirely in the browser — no R installation needed.
variogramApp
Explore how covariance-model parameters shape the variogram and simulate Gaussian random fields in one or two dimensions. Ideal for classroom use — share the URL or a QR code.
LEBLiverpool
A Shiny application visualising Life Expectancy at Birth (LEB) across Liverpool, UK, illustrating small-area health inequalities.
All code is released under open-source licences. Contributions, bug reports, and feature requests are welcome via the GitHub repositories above.