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).
| Version: |
0.2.3 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
sp, sf, spdep, MASS, raster, dplyr, tidyr, ggplot2, reshape2, nimble, coda, BiasedUrn, stats, utils, grDevices, methods |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2025-12-10 |
| DOI: |
10.32614/CRAN.package.spatialAtomizeR (may not be active yet) |
| Author: |
Yunzhe Qian [aut, cre],
Rachel Nethery [aut],
Nancy Krieger [ctb] (Contributed to the project conceptualization and
manuscript),
Nykesha Johnson [ctb] (Contributed to the project conceptualization and
manuscript) |
| Maintainer: |
Yunzhe Qian <qyzanemos at gmail.com> |
| BugReports: |
https://github.com/bellayqian/spatialAtomizeR/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/bellayqian/spatialAtomizeR |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
spatialAtomizeR results |