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

Olatunji Johnson; Claudio Fronterre; Peter J. Diggle; Benjamin Amoah; Emanuele Giorgi

doi:10.1371/journal.pone.0262145

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

Olatunji Johnson^*
, Claudio Fronterre
, Peter J. Diggle
, Benjamin Amoah
, Emanuele Giorgi

^*Corresponding author for this work

Applied Health Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

User-friendly interfaces have been increasingly used to facilitate the learning of advanced statistical methodology, especially for students with only minimal statistical training. In this paper, we illustrate the use of MBGapp for teaching geostatistical analysis to population health scientists. Using a case-study on Loa loa infections, we show how MBGapp can be used to teach the different stages of a geostatistical analysis in a more interactive fashion. For wider accessibility and usability, MBGapp is available as an R package and as a Shiny web-application that can be freely accessed on any web browser. In addition to MBGapp, we also present an auxiliary Shiny app, called VariagramApp, that can be used to aid the teaching of Gaussian processes in one and two dimensions using simulations.

Original language	English
Article number	e0262145
Number of pages	12
Journal	PLOS One
Volume	16
Issue number	12
DOIs	https://doi.org/10.1371/journal.pone.0262145
Publication status	Published - 31 Dec 2021

Bibliographical note

Publisher Copyright: © 2021 Johnson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

ASJC Scopus subject areas

General

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JohnsonO2021ShinyFinal published version, 1.27 MBLicence: Creative Commons: Attribution (CC BY)

Cite this

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abstract = "User-friendly interfaces have been increasingly used to facilitate the learning of advanced statistical methodology, especially for students with only minimal statistical training. In this paper, we illustrate the use of MBGapp for teaching geostatistical analysis to population health scientists. Using a case-study on Loa loa infections, we show how MBGapp can be used to teach the different stages of a geostatistical analysis in a more interactive fashion. For wider accessibility and usability, MBGapp is available as an R package and as a Shiny web-application that can be freely accessed on any web browser. In addition to MBGapp, we also present an auxiliary Shiny app, called VariagramApp, that can be used to aid the teaching of Gaussian processes in one and two dimensions using simulations.",

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AU - Giorgi, Emanuele

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

Abstract

Bibliographical note

ASJC Scopus subject areas

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