arcgisutils
The R-ArcGIS plumbing layer grew a portal administration API and geoprocessing job support.
Comparison · Analytics
abclass vs ggmapinset
A side-by-side editorial comparison of abclass and ggmapinset — release velocity, themes, recent moves, and the top alternatives to consider.
abclass vs ggmapinset: at a glance
What is abclass?
abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.
An implementation of multi-category angle-based large-margin classifiers with regularization. The capability was assembled in four releases across 2022: group lasso, then group SCAD and MCP penalties, then sparse matrix input, cross-validation via cv.abclass(), an efficient tuning path in et.abclass(), and experimental sup-norm classifiers. After a three-year gap, 0.5.0 simplified how group penalties are specified and 0.5.1 swapped the quadratic programming backend after qpmadr was archived on CRAN.
What is ggmapinset?
A ggplot2 inset-map extension that is now infrastructure for other packages
ggmapinset adds magnified inset panels to ggplot2 sf maps, handling the coordinate transformation, the inset frame and the sf-related stat layers that have to follow it. The 0.5.0 release is aimed less at end users than at extension authors: coerce_centre() is a new extension point required by sibling package ggautomap, and the inset parameter drops NA in favour of waiver() as its default. It comes from cidm-ph, alongside nswgeo.
abclass vs ggmapinset: editorial side-by-side
abclass
0.0ANALYTICS
abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.
◆ Current state
An implementation of multi-category angle-based large-margin classifiers with regularization. The capability was assembled in four releases across 2022: group lasso, then group SCAD and MCP penalties, then sparse matrix input, cross-validation via cv.abclass(), an efficient tuning path in et.abclass(), and experimental sup-norm classifiers. After a three-year gap, 0.5.0 simplified how group penalties are specified and 0.5.1 swapped the quadratic programming backend after qpmadr was archived on CRAN.
◆ Where it's heading
The methods surface is complete and the package has moved into maintenance, where releases are triggered by the R ecosystem rather than by research. The one structural habit worth noting is a willingness to change defaults — alpha, epsilon, lum_c and now the cross-validation alignment have all shifted between versions, so results are not stable across upgrades unless arguments are set explicitly.
◆ Prediction
Expect further releases to track CRAN dependency changes, as 0.5.1 did within a day of qpmadr's archival; nothing in the entries points to new penalty families.
ggmapinset
0.0ANALYTICS
A ggplot2 inset-map extension that is now infrastructure for other packages
◆ Current state
ggmapinset adds magnified inset panels to ggplot2 sf maps, handling the coordinate transformation, the inset frame and the sf-related stat layers that have to follow it. The 0.5.0 release is aimed less at end users than at extension authors: coerce_centre() is a new extension point required by sibling package ggautomap, and the inset parameter drops NA in favour of waiver() as its default. It comes from cidm-ph, alongside nswgeo.
◆ Where it's heading
The package has moved steadily from feature to foundation. 0.3.0 replaced confusing parameter names and rebuilt everything on stat_sf_inset() so coordinate limits stayed correct, then exposed transform_to_inset() explicitly for extension developers. 0.4.0 generalised inset shapes beyond circles to rectangles and arbitrary sf geometries. 0.5.0 continues in that direction, changing defaults in ways that require downstream extensions to adapt — the cost of being depended upon.
◆ Prediction
Expect further extension points driven by what ggautomap and the other cidm-ph mapping packages need, with the user-facing inset API staying largely settled after the shape generalisation.
Alternatives to abclass and ggmapinset
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 abclass or ggmapinset.
bootStateSpace
A parametric bootstrap for state-space models, shipped and then left alone.
benviplot
A Brazilian housing-data palette package went from internal tooling to public 1.0 in five days.
labelled
The bridge between Stata/SPSS labelled data and tidy R keeps widening, one integration at a time.
flashlight
flashlight hit 1.0 by giving away its SHAP feature and making most of its API internal.
qualpalr
A palette generator became a palette platform — and changed the metric behind every color it picks.
See all abclass alternatives → · See all ggmapinset alternatives →
Recent activity from abclass and ggmapinset
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agoggmapinsetNew extension point for ggautomap; waiver() replaces NA
- 7mo agoabclassQuadratic programming backend swapped after CRAN archival
- 10mo agoabclassGroup penalty specification simplified
- 1y agoggmapinsetRectangular and arbitrary sf inset shapes
- 3y agoggmapinsetRebuilt on stat_sf_inset() with corrected coordinate limits
- 3y agoabclassSparse input, cross-validation and efficient tuning added
- 4y agoabclassGroup SCAD and MCP penalties added
- 4y agoabclassGroup lasso regularization and correctness fixes
- 4y agoabclassFirst release of the angle-based classifiers
Frequently asked questions
What is the difference between abclass and ggmapinset?
They serve adjacent needs but don't currently overlap on shipped themes. abclass and ggmapinset 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 abclass better than ggmapinset?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. abclass and ggmapinset 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 abclass?
Top abclass alternatives in Analytics are ranked by recent ship velocity. Browse the "abclass alternatives" section above for the current picks, or visit /alternatives/abclass for the full list with editorial commentary on each.
What are the best alternatives to ggmapinset?
Top ggmapinset alternatives in Analytics are ranked by recent ship velocity. Browse the "ggmapinset alternatives" section above for the current picks, or visit /alternatives/ggmapinset for the full list with editorial commentary on each.