DAST: Spatio-Temporal Disaggregation for Maps with Changing Areal
Boundaries
Tools for spatio-temporal disaggregation of areal data across multiple
time points, including support for changing polygon boundaries. Implements
methods for spatially aggregated log-Gaussian Cox process models with
changing areal boundaries as described in Ripstein, Brown and Stafford
(2026) "Spatio-Temporal Disaggregation with Changing Areal Boundaries"
<doi:10.48550/arXiv.2606.25074>. Combines polygon-level
observations, population rasters and optional covariate rasters to infer fine-scale
spatial fields over time. Models can be efficiently fit using 'TMB' (Template Model
Builder) and adaptive Gauss-Hermite quadrature for fast approximate inference
or via 'tmbstan' for MCMC.
| Version: |
0.1.0 |
| Imports: |
aghq, cowplot, disaggregation, fmesher, ggplot2, Matrix, numDeriv, rSPDE, sf, sparseMVN, terra, TMB |
| LinkingTo: |
TMB, RcppEigen |
| Suggests: |
knitr, rmarkdown, rstan, testthat (≥ 3.0.0), tmbstan |
| Published: |
2026-06-30 |
| DOI: |
10.32614/CRAN.package.DAST (may not be active yet) |
| Author: |
Noah Ripstein [aut, cre] |
| Maintainer: |
Noah Ripstein <noah.ripstein at mail.utoronto.ca> |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/nripstein/DAST |
| NeedsCompilation: |
yes |
| Citation: |
DAST citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
DAST results |
Documentation:
Downloads:
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