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
SDALGCP2
The successor to SDALGCP, now on CRAN. An R package fitting a spatially discrete approximation to the log-Gaussian Cox process for spatially aggregated disease count data, estimated by Monte Carlo Maximum Likelihood.
install.packages("SDALGCP2")spLeakage
An R package to detect and quantify spatial information leakage in predictive modelling.
remotes::install_github("olatunjijohnson/spLeakage")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). Now on CRAN.
install.packages("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.