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The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of ggdemetra and spatstat.geom — release velocity, themes, recent moves, and the top alternatives to consider.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
ggdemetra is a thin, focused bridge: it puts RJDemetra's seasonal adjustment results — TRAMO-SEATS and X-13 models — into ggplot2 geoms and autoplot methods. Development runs in short bursts separated by long quiet stretches, and the most recent work has been correcting SI ratio handling rather than adding surface. The API is small enough that a single function rename counts as the notable change in a release.
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.
ggdemetra is a thin, focused bridge: it puts RJDemetra's seasonal adjustment results — TRAMO-SEATS and X-13 models — into ggplot2 geoms and autoplot methods. Development runs in short bursts separated by long quiet stretches, and the most recent work has been correcting SI ratio handling rather than adding surface. The API is small enough that a single function rename counts as the notable change in a release.
The package has been steadily completing its coverage of the seasonal adjustment output surface: component extractors and autoplot methods in 0.2.3, SI ratio plotting in 0.2.5, then two releases of corrections to make SI ratios behave under TRAMO-SEATS jSA models and when no seasonal component is exported. Alongside that, the naming is being tidied — y_forecast() became raw(), and init_ggplot() shortened the setup boilerplate. This reads as a package approaching the edge of its intended scope and spending its effort on correctness.
Two consecutive releases fixing SI ratios under TRAMO-SEATS suggest that code path is the least settled part of the package, so further corrections there are the most likely next move. The entries give no indication of new model families or plot types being planned.
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.
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.
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.
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 ggdemetra or spatstat.geom.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
See all ggdemetra alternatives → · See all spatstat.geom alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. 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.
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.
Top ggdemetra alternatives in Analytics are ranked by recent ship velocity. Browse the "ggdemetra alternatives" section above for the current picks, or visit /alternatives/ggdemetra for the full list with editorial commentary on each.
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.