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oblicubes vs spmodel

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

oblicubes vs spmodel: at a glance

Featureoblicubesspmodel
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, data-viz, grid-graphics, ggplot2spatial-statistics, regression-modelling, kriging, r-package
Last editorial update1h ago8h ago
WebsiteVisit →Visit →

What is oblicubes?

A tiny grid renderer for oblique-projection cubes, complete since its first release.

oblicubes draws 3D cubes and cuboids in oblique projection as grid grobs, with ggplot2 geom wrappers and a height-matrix helper for turning elevation data into coordinates. The entire feature set arrived in the initial 0.1.2 release, adapted from coolbutuseless's isocubes and cj-holmes's isocuboids. The two releases since have widened compatibility rather than added anything.

Read the full oblicubes trajectory →

What is spmodel?

Spatial regression in R, adding block kriging and then tuning the numerics underneath it

spmodel fits spatial linear and generalised linear models, for both point-referenced and areal data, with prediction and diagnostics attached. Block prediction arrived in 0.11.0 and the releases since have refined it. The most recent release changes optimiser behaviour: the default Nelder-Mead relative stopping tolerance tightens from 1e-4 to 1e-6 to reduce convergence on local rather than global maxima.

Read the full spmodel trajectory →

oblicubes vs spmodel: editorial side-by-side

O
oblicubes
ANALYTICS
0.0

A tiny grid renderer for oblique-projection cubes, complete since its first release.

◆ Current state

oblicubes draws 3D cubes and cuboids in oblique projection as grid grobs, with ggplot2 geom wrappers and a height-matrix helper for turning elevation data into coordinates. The entire feature set arrived in the initial 0.1.2 release, adapted from coolbutuseless's isocubes and cj-holmes's isocuboids. The two releases since have widened compatibility rather than added anything.

◆ Where it's heading

The package is finished and its maintainer is treating it that way. 1.0.0 removed the R 4.1 native pipe from examples specifically so earlier R versions could use it — reaching backward, not forward — and added image alt text. The only change since is swapping a deprecated dplyr call in examples.

◆ Prediction

Expect nothing beyond occasional dependency deprecation fixes; the release pattern shows a small, deliberately complete package being kept installable.

S
spmodel
ANALYTICS
0.0

Spatial regression in R, adding block kriging and then tuning the numerics underneath it

◆ Current state

spmodel fits spatial linear and generalised linear models, for both point-referenced and areal data, with prediction and diagnostics attached. Block prediction arrived in 0.11.0 and the releases since have refined it. The most recent release changes optimiser behaviour: the default Nelder-Mead relative stopping tolerance tightens from 1e-4 to 1e-6 to reduce convergence on local rather than global maxima.

◆ Where it's heading

Two threads run in parallel. The first is expanding what can be predicted — point predictions, then areal averages over a region via block kriging, then better accuracy and efficiency for that path as the block size default moved from 1000 to 4000 in 0.12.0. The second is numerical trustworthiness, and it is unusually prominent here: a range-constraint option for stability in 0.9.0, a corrected log determinant of the fixed effects in the restricted log likelihood in 0.11.0, a cloud semivariogram that had been doubling the semivariance fixed in 0.11.1, and now a tighter optimiser tolerance. Several of these silently changed results before they were caught.

◆ Prediction

Expect the maintainers to keep publishing explicit reproduction instructions alongside numerical default changes, as 0.13.0 does by documenting the `control = list(reltol = 1e-4)` escape hatch. The entries give no signal of expansion beyond the current model families.

Alternatives to oblicubes and spmodel

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 oblicubes or spmodel.

See all oblicubes alternatives → · See all spmodel alternatives →

Recent activity from oblicubes and spmodel

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

  1. 2mo agospmodelTighter optimiser tolerance to avoid local maxima
  2. 6mo agooblicubesExamples updated to dplyr::reframe()
  3. 6mo agospmodelEmpirical autocovariance function and better block kriging accuracy
  4. 9mo agospmodelCloud semivariogram doubling fixed; geometry warnings added
  5. 1y agospmodelBlock kriging for areal averages and their uncertainty
  6. 1y agospmodelRobust semivariogram and new covariance types for areal models
  7. 1y agooblicubesR 4.1 pipe removed from examples; image alt text added
  8. 1y agospmodelRange constraint option and redefined covariance type names
  9. 3y agooblicubesInitial release: oblique-projection cube and cuboid grobs

Frequently asked questions

What is the difference between oblicubes and spmodel?

They serve adjacent needs but don't currently overlap on shipped themes. oblicubes and spmodel 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 oblicubes better than spmodel?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. oblicubes and spmodel 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 oblicubes?

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

What are the best alternatives to spmodel?

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