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Comparison · Analytics
scoringutils vs spatstat.geom
A side-by-side editorial comparison of scoringutils and spatstat.geom — release velocity, themes, recent moves, and the top alternatives to consider.
scoringutils vs spatstat.geom: at a glance
| Feature | scoringutils | spatstat.geom |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 2.5 |
| Sparks · 30d | 0 | 0 |
| Top themes | forecast evaluation, probabilistic scoring, multivariate forecasts, s3 classes | spatial-statistics, computational-geometry, r-package, three-dimensional |
| Last editorial update | 1h ago | 2h ago |
| Website | Visit → | Visit → |
What is scoringutils?
scoringutils pushes forecast scoring past univariate outcomes into multivariate and ordinal ones.
scoringutils evaluates probabilistic forecasts in R. Since the 2.0.0 rewrite it is organised around typed forecast objects — quantile, sample, binary, point, nominal — built by as_forecast_<type>() constructors and scored through S3 methods. Version 2.2.0 adds multivariate sample and point types with the variogram score, and 2.1.0 added ordinal forecasts.
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.
scoringutils vs spatstat.geom: editorial side-by-side
scoringutils
0.0ANALYTICS
scoringutils pushes forecast scoring past univariate outcomes into multivariate and ordinal ones.
◆ Current state
scoringutils evaluates probabilistic forecasts in R. Since the 2.0.0 rewrite it is organised around typed forecast objects — quantile, sample, binary, point, nominal — built by as_forecast_<type>() constructors and scored through S3 methods. Version 2.2.0 adds multivariate sample and point types with the variogram score, and 2.1.0 added ordinal forecasts.
◆ Where it's heading
The forecast-type system introduced in 2.0.0 is the engine of everything since: each release fits another outcome shape into it rather than reworking the scoring interface. Multivariate support is the largest of those additions because it scores the dependence structure between variables, not just marginal accuracy. Type and constructor names are still being reconciled — forecast_sample_multivariate was renamed to forecast_multivariate_sample with a deprecation window.
◆ Prediction
Expect further forecast types and metrics slotted into the same constructor pattern, and the deprecated forecast_sample_multivariate alias and is_forecast_sample_multivariate() to be removed once that window closes.
spatstat.geom
2.5ANALYTICS
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 scoringutils 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 scoringutils or spatstat.geom.
geoarrow-r
geoarrow tracks the GeoArrow spec and otherwise just keeps compiling
n2khab
n2khab keeps retracting interpretations of habitat data it can't actually support
tidypolars
tidypolars is grinding toward complete dplyr coverage, one supported function at a time
OneSampleMR
OneSampleMR found that argument order in a formula was silently changing its estimates
bpbounds
bpbounds found the same swapped-cell bug twice and clamped its bounds back into range
See all scoringutils alternatives → · See all spatstat.geom alternatives →
Recent activity from scoringutils and spatstat.geom
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 20d agospatstat.geomMore three-dimensional point pattern capabilities
- 2mo agospatstat.geomBetter boundary pixel handling when discretising windows
- 4mo agoscoringutilsMultivariate forecast scoring and the variogram score ⚡
- 6mo agospatstat.geomAnalytic level sets and signed distance transforms
- 10mo agospatstat.geomNA object handling extended; clickpoly gains grid snapping
- 11mo agoscoringutilsQuantile levels rounded to avoid float duplicates
- 1y agospatstat.geomNA spatial objects, hole removal and connected components
- 1y agoscoringutilsOptional p-values in pairwise comparisons; PIT fix
- 1y agospatstat.geomNonlinear colour and symbol maps; half-open quadrat tiles
- 1y agoscoringutilsOrdinal forecasts get their own class and metrics
- 1y agoscoringutilsRewrite: typed forecast objects and pluggable metrics ⚡
- 2y agoscoringutilsTwo bug fixes and package-site infrastructure
Frequently asked questions
What is the difference between scoringutils and spatstat.geom?
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.
Is scoringutils 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 scoringutils?
Top scoringutils alternatives in Analytics are ranked by recent ship velocity. Browse the "scoringutils alternatives" section above for the current picks, or visit /alternatives/scoringutils 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.