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rjd3highfreq vs spatstat.geom

A side-by-side editorial comparison of rjd3highfreq and spatstat.geom — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

rjd3highfreq vs spatstat.geom: at a glance

Featurerjd3highfreqspatstat.geom
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesseasonal-adjustment, time-series, jdemetra, r-packagespatial-statistics, computational-geometry, r-package, three-dimensional
Last editorial update1h ago6h ago
WebsiteVisit →Visit →

What is rjd3highfreq?

rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.

An R wrapper around JDemetra+ routines for seasonal adjustment of high-frequency time series, built on fractional airline decomposition. Only three releases are on record, roughly one every six months, and two of them describe nothing beyond updated .jar files. The package is a thin binding whose substance lives in the Java libraries it packages, and the release notes reflect that literally.

Read the full rjd3highfreq trajectory →

What is spatstat.geom?

The geometry layer under spatstat, steadily absorbing 3D patterns and missing-data semantics

spatstat.geom holds the spatial data structures and geometric operations the rest of the spatstat family builds on — windows, tessellations, images, point patterns and the operations that move between them. Recent releases split their attention between extending those structures to three dimensions and hardening the discretisation code where polygonal geometry meets a pixel grid. 3.8-2 adds more capabilities for three-dimensional point patterns.

Read the full spatstat.geom trajectory →

rjd3highfreq vs spatstat.geom: editorial side-by-side

R
rjd3highfreq
ANALYTICS
0.0

rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.

◆ Current state

An R wrapper around JDemetra+ routines for seasonal adjustment of high-frequency time series, built on fractional airline decomposition. Only three releases are on record, roughly one every six months, and two of them describe nothing beyond updated .jar files. The package is a thin binding whose substance lives in the Java libraries it packages, and the release notes reflect that literally.

◆ Where it's heading

The one release with detail points at where the work actually is: 2.4.1 exposes eps and deps parameters on fractionalAirlineDecomposition(), controlling the optimisation routine's convergence precision and the step size for its numerical derivatives. That is tuning access for users whose series were not converging well under the defaults, and it is the only user-facing surface change visible here. The earlier entry even appears under a different package name, rjd3xhighfreq, which suggests some instability in how this line is published.

◆ Prediction

Expect further releases tracking JDemetra+ .jar versions, with R-level parameters exposed only as specific estimation problems surface; the entries do not support a firmer read than that.

S
spatstat.geom
ANALYTICS
2.5

The geometry layer under spatstat, steadily absorbing 3D patterns and missing-data semantics

◆ Current state

spatstat.geom holds the spatial data structures and geometric operations the rest of the spatstat family builds on — windows, tessellations, images, point patterns and the operations that move between them. Recent releases split their attention between extending those structures to three dimensions and hardening the discretisation code where polygonal geometry meets a pixel grid. 3.8-2 adds more capabilities for three-dimensional point patterns.

◆ Where it's heading

Two threads run through this window. The first is a family-wide push into 3D that originated in the simulation package and has now reached the geometry layer. The second is a slower semantic change: 3.5-0 introduced missing or unavailable (NA) spatial objects, and 3.6-0 followed with more facilities for handling them, meaning an absent window or image became a representable value rather than an error. Around both, the plotting and discretisation code accretes steadily — nonlinear colour maps, plot backgrounds, transparency control, signed distance transforms, and repeated attention to boundary pixels.

◆ Prediction

Expect the 3D surface here to keep filling in behind the simulation package rather than leading it, given that 3.8-2 follows the 3D simulation release by two months. The entries give no indication that the NA work is finished, since it has already spanned two releases.

Alternatives to rjd3highfreq and spatstat.geom

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 rjd3highfreq or spatstat.geom.

See all rjd3highfreq alternatives → · See all spatstat.geom alternatives →

Recent activity from rjd3highfreq and spatstat.geom

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

  1. 20d agospatstat.geomMore three-dimensional point pattern capabilities
  2. 2mo agospatstat.geomBetter boundary pixel handling when discretising windows
  3. 3mo agorjd3highfreqOptimisation precision and derivative step exposed on airline decomposition
  4. 6mo agospatstat.geomAnalytic level sets and signed distance transforms
  5. 8mo agorjd3highfreqrjd3highfreq 2.4.0
  6. 10mo agospatstat.geomNA object handling extended; clickpoly gains grid snapping
  7. 1y agospatstat.geomNA spatial objects, hole removal and connected components
  8. 1y agospatstat.geomNonlinear colour and symbol maps; half-open quadrat tiles
  9. 1y agorjd3highfreqrjd3xhighfreq 2.3.0

Frequently asked questions

What is the difference between rjd3highfreq and spatstat.geom?

Both compete on the same themes — r-package — within Analytics. spatstat.geom is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is rjd3highfreq better than spatstat.geom?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. spatstat.geom is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to rjd3highfreq?

Top rjd3highfreq alternatives in Analytics are ranked by recent ship velocity. Browse the "rjd3highfreq alternatives" section above for the current picks, or visit /alternatives/rjd3highfreq for the full list with editorial commentary on each.

What are the best alternatives to spatstat.geom?

Top spatstat.geom alternatives in Analytics are ranked by recent ship velocity. Browse the "spatstat.geom alternatives" section above for the current picks, or visit /alternatives/spatstat-geom for the full list with editorial commentary on each.