MBGapp: Geostatistical Education for Population Health Scientists

★ ★ ★ ★ ★ | 1 reviews | 6 users

Last accessed Apr 03, 2025
Author Ayla Navarro Data Scientist

About the app

MBGapp serves is an application tailored for instructing population health scientists in geostatistical analysis. Utilizing a Loa loa infection case study, we showcase MBGapp's potential for delivering interactive instruction across the various stages of geostatistical analysis. To enhance accessibility and usability, MBGapp is accessible both as an R package and a Shiny web application, readily available through standard web browsers. MBGapp relies on the maximum likelihood method for estimation and is structured around four primary tabs: "Explore," "Variogram," "Estimation," and "Prediction," each mirroring distinct steps in geostatistical analysis, as elaborated in the "Results" section, which also details the sidebar functionalities for these tabs within the primary interface. Original: https://doi.org/10.1371/journal.pone.0262145

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About the ShinyAppStore platform

ShinyAppStore is the leading platform for showcasing and utilizing a wide range of Shiny applications developed with the shiny R package. We will be expanding access to allow shiny apps built with Python as well. Users can submit and explore applications across various categories, add verified apps to their personal library, and enjoy easy access. The platform features well-designed apps with detailed descriptions and evaluations by users. All applications on ShinyAppStore are user-owned and open source, with the source code readily available for download on our GitHub page.
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