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Comparison · Analytics
geomander vs rjdqa
A side-by-side editorial comparison of geomander and rjdqa — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
geomander vs rjdqa: at a glance
What is geomander?
A redistricting toolkit that grows mostly by wiring in new public data sources
geomander provides geographic tools for redistricting analysis in R — matching and aggregating across block, VTD and district geometries, spatial diagnostics, and download helpers for the datasets the field relies on. Recent work splits between data access, with fetchers added for Jeffrey B. Lewis's historical congressional districts and RPV Near Me, and performance, with 2.5.0 delivering large speed gains in geo_match().
What is rjdqa?
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().
geomander vs rjdqa: editorial side-by-side
geomander
0.0ANALYTICS
A redistricting toolkit that grows mostly by wiring in new public data sources
◆ Current state
geomander provides geographic tools for redistricting analysis in R — matching and aggregating across block, VTD and district geometries, spatial diagnostics, and download helpers for the datasets the field relies on. Recent work splits between data access, with fetchers added for Jeffrey B. Lewis's historical congressional districts and RPV Near Me, and performance, with 2.5.0 delivering large speed gains in geo_match().
◆ Where it's heading
The package is consolidating as infrastructure rather than expanding its analytical surface. Each release either adds a source of redistricting data that users would otherwise download by hand, or makes the core geographic matching operations faster and more correct — the normalized global Moran's I correction and the block-level geometry mismatch fix both fall in the second category. geo_match() being the target of the most recent release confirms where the hot path is.
◆ Prediction
With geo_match() now optimised, the remaining friction is in the download helpers, several of which have needed repair after upstream changes; expect the next release to consolidate or harden those fetchers rather than add analysis functions.
rjdqa
0.0ANALYTICS
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
◆ Current state
rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().
◆ Where it's heading
The package has converged on a single deliverable and is tuning it against reviewer practice. Each release adds a parameter that lets the analyst include or exclude one element of the dashboard, or adjusts how densely information is packed into the fixed space of the layout. The td_effect default — print the test only for monthly series — is characteristic: the knowledge about when a diagnostic is meaningful is being encoded into the tool rather than left to the reader.
◆ Prediction
The pattern of adding one toggle per diagnostic per release points at the same thing again, most likely another test given a conditional default, rather than a new dashboard function alongside the two that exist.
Alternatives to geomander and rjdqa
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either geomander or rjdqa.
geodist
geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.
errors
errors keeps making uncertainty print the way each scientific field expects.
CMAQ
CMAQ went global in v5.5, and has been patching that surface ever since.
enpls
enpls has not changed its statistics since 2016 — only its website, twice.
grex
grex is a lookup table with a version number — it ships when the annotation moves.
See all geomander alternatives → · See all rjdqa alternatives →
Recent activity from geomander and rjdqa
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 8mo agogeomanderLarge speed gains in geo_match()
- 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
- 1y agorjdqaFix tail() usage on ts objects
- 2y agogeomanderFetchers for Lewis historical districts and RPV Near Me
- 2y agorjdqaFix dependency minimums and outlier ordering
- 2y agorjdqasimple_dashboard2() added; deprecated sa_dashboard() removed
- 2y agorjdqasimple_dashboard() introduced; sa_dashboard() deprecated
- 3y agogeomanderMaximum inscribed circle centres and BAF-to-VTD approximation
- 5y agogeomanderRepository tag marking CRAN release 1.0.8
- 7y agorjdqaFirst CRAN release
Frequently asked questions
What is the difference between geomander and rjdqa?
Both compete on the same themes — r-package — within Analytics. geomander and rjdqa are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is geomander better than rjdqa?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. geomander and rjdqa are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to geomander?
Top geomander alternatives in Analytics are ranked by recent ship velocity. Browse the "geomander alternatives" section above for the current picks, or visit /alternatives/geomander-r for the full list with editorial commentary on each.
What are the best alternatives to rjdqa?
Top rjdqa alternatives in Analytics are ranked by recent ship velocity. Browse the "rjdqa alternatives" section above for the current picks, or visit /alternatives/rjdqa-r for the full list with editorial commentary on each.