spatialAtomizeR (version 0.2.4)

spatialAtomizeR-package: spatialAtomizeR: Spatial Analysis with Misaligned Data Using Atom-Based Regression Models

Description

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) tools:::Rd_expr_doi("10.1101/2023.01.10.23284410"). Further methodological details and software implementation are described in Qian et al. (in review).

Implements atom-based Bayesian regression methods (ABRM) for spatial data with misaligned grids.

Main Functions

simulate_misaligned_data

Generate simulated spatial data

get_abrm_model

Get NIMBLE model code for ABRM

run_abrm

Run atom-based Bayesian regression model

Author

Maintainer: Yunzhe Qian

Authors:

• Rachel Nethery

Other contributors:

• Nancy Krieger (Contributed to the project conceptualization and manuscript) [contributor]

• Nykesha Johnson (Contributed to the project conceptualization and manuscript) [contributor]

See Also

Useful links:

• https://github.com/bellayqian/spatialAtomizeR

• Report bugs at https://github.com/bellayqian/spatialAtomizeR/issues