Spatial Analysis with Misaligned Data Using Atom-Based Regression Models
R Wrapper Function for BiasedUrn Sampling
Dasymetric Mapping
Density function for multivariate non-central hypergeometric
Fit Dasymetric Model
Generate Correlated Spatial Effects
Get ABRM Model Code for NIMBLE
Register Custom NIMBLE Distributions
Nimble R Call Wrapper for BiasedUrn
Random generation for multivariate non-central hypergeometric
Run ABRM Analysis
Run Both Methods and Compare
Run NIMBLE Model with Diagnostics
Run Sensitivity Analysis
Simulate Misaligned Spatial Data
spatialAtomizeR: Spatial Analysis with Misaligned Data Using Atom-Base...
Implements atom-based regression models (ABRM) for analyzing spatially misaligned data. Provides functions for simulating misaligned spatial data, preparing NIMBLE model inputs, running MCMC diagnostics, and comparing different spatial analysis methods including dasymetric mapping. All main functions return S3 objects with print(), summary(), and plot() methods for intuitive result exploration. Methods are described in Nethery et al. (2023) <doi:10.1101/2023.01.10.23284410>. Further methodological details and software implementation are described in Qian et al. (in review).
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