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

Johnson, Olatunji and Fronterre, Claudio and Diggle, Peter and Amoah, Benjamin and Giorgi, Emanuele (2021) MBGapp:A Shiny application for teaching model-based geostatistics to population health scientists. PLoS One, 16 (12). ISSN 1932-6203

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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.

Item Type:
Journal Article
Journal or Publication Title:
PLoS One
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2700
Subjects:
ID Code:
164158
Deposited By:
Deposited On:
06 Jan 2022 16:15
Refereed?:
Yes
Published?:
Published
Last Modified:
04 May 2022 02:36