MBGapp: Interactive 'shiny' Application for Model-Based Geostatistics

Provides an interactive 'shiny' application for teaching and applied analysis of geostatistical data. Users can explore spatial data, assess spatial correlation through the empirical variogram, fit model-based geostatistical models for continuous, prevalence and count outcomes, produce spatial predictions, and download reports. The methodology follows the model-based geostatistics framework of Diggle and Giorgi (2019, ISBN:9781138732353).

Version:	0.1.0
Imports:	geoR, ggplot2, shiny, sf, dplyr, readr, tidyr, magrittr, leaflet, leafem, tidyterra, stars, RiskMap, terra, grDevices, shinyjs, splines, httr2, rmarkdown
Suggests:	INLA, covr, testthat (≥ 3.0.0)
Published:	2026-07-10
DOI:	10.32614/CRAN.package.MBGapp
Author:	Olatunji Johnson [cre, aut], Claudio Fronterre [aut], Emanuele Giorgi [aut]
Maintainer:	Olatunji Johnson <olatunjijohnson21111 at gmail.com>
BugReports:	https://github.com/olatunjijohnson/MBGapp/issues
License:	MIT + file LICENSE
URL:	https://github.com/olatunjijohnson/MBGapp
NeedsCompilation:	no
Additional_repositories:	https://inla.r-inla-download.org/R/stable
Materials:	README
CRAN checks:	MBGapp results

Documentation:

Reference manual:

MBGapp.html , MBGapp.pdf

Downloads:

Package source:	MBGapp_0.1.0.tar.gz
Windows binaries:	r-devel: MBGapp_0.1.0.zip, r-release: MBGapp_0.1.0.zip, r-oldrel: MBGapp_0.1.0.zip
macOS binaries:	r-release (arm64): MBGapp_0.1.0.tgz, r-oldrel (arm64): MBGapp_0.1.0.tgz, r-release (x86_64): MBGapp_0.1.0.tgz, r-oldrel (x86_64): MBGapp_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MBGapp to link to this page.