Interactive 'shiny' Application for Model-Based Geostatistics
Overview
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).
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from: ‘RiskMap’ ‘dplyr’ ‘geoR’ ‘ggplot2’ ‘grDevices’ ‘httr2’ ‘leafem’ ‘leaflet’ ‘magrittr’ ‘readr’ ‘rmarkdown’ ‘sf’ ‘shinyjs’ ‘splines’ ‘stars’ ‘terra’ ‘tidyr’ ‘tidyterra’ All declared Imports should be used.
- NOTE11 OK, 2 NOTE2026-09-08
- ERROR11 OK, 1 NOTE, 1 ERROR2026-09-07
- NOTE6 OK, 2 NOTE2026-07-11
Documentation
- Help pages
- 2 (1 internal)includes a package overview page
- Examples that run
- 100%1 run in a plain check (under a condition)
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
6 development-tooling and community-health practices detected across 5 families in the upstream repository
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- Claude Codefirst seen 2026-06-21Commits: at least 4 crediting it in the message
- Claude Sonnet 4.64 commits · Jun 2026
Dependencies
Code & Tests
People & History
- 0.1.0Latest2026-07-10 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-10
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Additional repositories
- inla.r-inla-download.org
- Download size
- 337 KB
Cite
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Run in R for the authors' preferred citation:
citation("MBGapp")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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