MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists

PLOS ONE 16(12):e0262145

Recent

Published

December 31, 2021

Doi

10.1371/journal.pone.0262145

Keywords

Teaching, R Shiny, Loa loa, Monte Carlo, Geostatistics

Authors: Olatunji Johnson; Claudio Fronterre; Peter J. Diggle; Benjamin Amoah; Emanuele Giorgi
Journal: PLOS ONE, 16(12):e0262145 (2021)

Summary

Introduces MBGapp, an R/Shiny tool that walks learners through the full MBG workflow (exploration → variogram → model fitting → prediction) using a Loa loa case study, plus a companion VariagramApp for teaching Gaussian processes.

Citation

Johnson O, Fronterre C, Diggle PJ, Amoah B, Giorgi E (2021). MBGapp… PLOS ONE, 16(12):e0262145. https://doi.org/10.1371/journal.pone.0262145