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Spatio-Temporal Disaggregation for Maps with Changing Areal Boundaries

0packages depend
1.3Kdownloads / year
57.0%test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.1.0
  • Initial CRAN submission.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 8.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK6 OK2026-07-01
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 276 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileYes · cites a publication
Help pages
41 (18 internal)
Examples that run
100%1 run in a plain check
Exported functions with examples
10%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

1.3K
CRAN downloads in the past year
Rank #9,952 · ~3/day · ~106/mo
Daily download trend is not available in this view yet.
30730 days
1K90 days
1.3K1 year
Compare downloads with other packages →
Also on57 r2u12 autocran

Repository

2Stars
0Forks
0Open issues
0Open PRs
0Releases
147Commits
1Commit identities
147 commits · Last activity 2026-06-30 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2026-06-15 · 22026-07-07 · 2
PracticesBeta

8 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/nripstein/dast on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-06-30 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting
CRAN release process (1)
cran-comments.md
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)

Installing DAST adds 57 packages (33 with compiled code, 69 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (0)
none
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1.0 (2026)
Releases (1)
  • 0.1.0Latest
    2026-06-30 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-06-30
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Download size
152 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("DAST")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.48550/arxiv.2606.25074.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DAST version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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