01490nas a2200229 4500000000100000008004100001260003700042653002200079653002900101100001400130700001700144700001400161700001200175700001300187700000900200245010300209856009800312300001300410490000700423520081600430022001401246 2021 d bPublic Library of Science (PLoS)10amultidisciplinary10aGeostatistical modelling1 aJohnson O1 aFronterrè C1 aDiggle PJ1 aAmoah B1 aGiorgi E1 aLi Y00aMBGapp: A Shiny application for teaching model-based geostatistics to population health scientists uhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0262145&type=printable ae02621450 v163 a
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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