Spatio-Temporal Disaggregation for Maps with Changing Areal Boundaries R package DAST version 0.1.0 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. Software 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 Noah Ripstein <noah.ripstein@mail.utoronto.ca> Comprehensive R Archive Network (CRAN) Noah Ripstein [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=DAST/LICENSE) 2026-06-30 application/tgz https://CRAN.R-project.org/package=DAST doi:10.32614/CRAN.package.DAST