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geoarrow-r vs rjdqa

A side-by-side editorial comparison of geoarrow-r and rjdqa — release velocity, themes, recent moves, and the top alternatives to consider.

geoarrow-r vs rjdqa: at a glance

Featuregeoarrow-rrjdqa
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgeospatial, r, apache arrow, columnar formatsofficial-statistics, seasonal-adjustment, quality-assurance, r-package
Last editorial update7h ago1h ago
WebsiteVisit →Visit →

What is geoarrow-r?

geoarrow tracks the GeoArrow spec and otherwise just keeps compiling

geoarrow gives R zero-copy access to geospatial data in the Arrow columnar format, with conversions to and from sf and wk. The package is thin by design — most of the work lives in vendored copies of geoarrow-c and nanoarrow — and its release notes reflect that: the substantive one in the window implemented GeoArrow 0.2 specification features, and everything since has been compiler warnings and a test fixed for a new sf version.

Read the full geoarrow-r trajectory →

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().

Read the full rjdqa trajectory →

geoarrow-r vs rjdqa: editorial side-by-side

G
geoarrow-r
ANALYTICS
0.0

geoarrow tracks the GeoArrow spec and otherwise just keeps compiling

◆ Current state

geoarrow gives R zero-copy access to geospatial data in the Arrow columnar format, with conversions to and from sf and wk. The package is thin by design — most of the work lives in vendored copies of geoarrow-c and nanoarrow — and its release notes reflect that: the substantive one in the window implemented GeoArrow 0.2 specification features, and everything since has been compiler warnings and a test fixed for a new sf version.

◆ Where it's heading

Development is downstream of two things the package does not control: the GeoArrow specification and the C libraries it vendors. When the spec added non-PROJJSON CRS types and spheroidal edge interpolations, the R package followed; when the geoarrow.box type appeared, it gained conversions to and from wk::rct(). Between those, releases exist to keep CRAN builds green. The type-selection work in 0.4.0 — letting callers force geoarrow.wkb output when converting from sf — is the only recent change driven by R-side ergonomics rather than upstream.

◆ Prediction

Given that every feature release so far has implemented a spec revision, the next one likely arrives when GeoArrow publishes its next set of extension types rather than on any schedule of its own.

R
rjdqa
ANALYTICS
0.0

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 geoarrow-r 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 geoarrow-r or rjdqa.

See all geoarrow-r alternatives → · See all rjdqa alternatives →

Recent activity from geoarrow-r and rjdqa

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2mo agogeoarrow-rgeoarrow 0.4.3
  2. 8mo agogeoarrow-rgeoarrow 0.4.1
  3. 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
  4. 10mo agogeoarrow-rgeoarrow lets callers choose the geometry type when converting from sf
  5. 1y agogeoarrow-rgeoarrow implements the GeoArrow 0.2 specification features
  6. 1y agorjdqaFix tail() usage on ts objects
  7. 2y agogeoarrow-rgeoarrow 0.2.1
  8. 2y agorjdqaFix dependency minimums and outlier ordering
  9. 2y agorjdqasimple_dashboard2() added; deprecated sa_dashboard() removed
  10. 2y agorjdqasimple_dashboard() introduced; sa_dashboard() deprecated
  11. 2y agogeoarrow-rLegacy geoarrow tagged before the rewrite
  12. 7y agorjdqaFirst CRAN release

Frequently asked questions

What is the difference between geoarrow-r and rjdqa?

They serve adjacent needs but don't currently overlap on shipped themes. geoarrow-r 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 geoarrow-r better than rjdqa?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. geoarrow-r 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 geoarrow-r?

Top geoarrow-r alternatives in Analytics are ranked by recent ship velocity. Browse the "geoarrow-r alternatives" section above for the current picks, or visit /alternatives/geoarrow-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.