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4DModeller

R tools for Bayesian spatial and temporal modelling
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About 4DModeller

4DModeller is a spatial and temporal modelling project with an R package called fdmr. It brings together data visualization, finite-element mesh construction and Bayesian hierarchical modelling using INLA and inlabru. The documentation describes a workflow for tabular data with spatial coordinates, time indices and values that change or remain constant over those dimensions.

The project includes Shiny applications, tutorials in R Markdown notebooks and the package itself. These tools help users construct meshes, choose model priors and examine trained model output. It is intended for the modelling stage after data has been organized, rather than for collecting raw data automatically. Installation requires R and supporting dependencies, and the documentation includes platform notes for users who need additional system libraries.

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Perfect for

Researchers and analysts working in R with spatially distributed data that also changes through time.

Solves these problems

Bringing mesh building, model setup, visualization and evaluation into a documented spatial-statistics workflow.