OHPL
A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
Comparison · Analytics
dggridR vs scoringutils
A side-by-side editorial comparison of dggridR and scoringutils — release velocity, themes, recent moves, and the top alternatives to consider.
dggridR vs scoringutils: at a glance
What is dggridR?
A discrete global grid generator grew cell traversal and became a usable spatial index.
dggridR builds discrete global grids — icosahedral tessellations of the Earth into equal-area hexagonal or triangular cells — by wrapping the DGGRID C++ engine. The 4.1.0 release adds dgneighbors, dgchildren and dgparent for moving between adjacent cells and across resolutions, plus dgpoints_to_cells and dgbin_points for mapping and aggregating point data into cells. New aperture 7 and mixed-aperture ISEA43H grid types arrive alongside them.
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.
dggridR vs scoringutils: editorial side-by-side
dggridR
0.0ANALYTICS
A discrete global grid generator grew cell traversal and became a usable spatial index.
◆ Current state
dggridR builds discrete global grids — icosahedral tessellations of the Earth into equal-area hexagonal or triangular cells — by wrapping the DGGRID C++ engine. The 4.1.0 release adds dgneighbors, dgchildren and dgparent for moving between adjacent cells and across resolutions, plus dgpoints_to_cells and dgbin_points for mapping and aggregating point data into cells. New aperture 7 and mixed-aperture ISEA43H grid types arrive alongside them.
◆ Where it's heading
The package changed hands in effect as well as in code: the 4.0.0 engine update to DGGRID v9.0b and the first real test suite were contributed by Sebastian Krantz, who also maintains the upstream engine fork, and 4.1.0's feature burst followed two weeks later. The direction of that burst is unmistakable — away from generating grids for plotting and toward using them as an indexing structure that point data gets binned into and navigated through.
◆ Prediction
Expect the cell hierarchy functions to extend to non-hexagonal apertures and multi-level traversal, closing the remaining gaps against established global indexing systems.
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.
Alternatives to dggridR and scoringutils
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 dggridR or scoringutils.
fastplyr
A fast dplyr stand-in that keeps finding new places to skip work entirely.
trias
Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.
icesSAG
The ICES stock assessment client took upload away in 2024 and spent two years giving it back.
vegan
Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.
ichimoku
A cloud-chart package quietly swapping its dependencies for its maintainer's own libraries.
See all dggridR alternatives → · See all scoringutils alternatives →
Recent activity from dggridR and scoringutils
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agodggridRCell neighbors, parents and children make the grid navigable ⚡
- 3mo agodggridRBundled DGGRID engine updated to v9.0b with a test suite
- 3mo agodggridRMaster merged into development ahead of the 4.0 work
- 4mo agoscoringutilsMultivariate forecast scoring and the variogram score ⚡
- 11mo agoscoringutilsQuantile levels rounded to avoid float duplicates
- 1y agoscoringutilsOptional p-values in pairwise comparisons; PIT fix
- 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 dggridR and scoringutils?
They serve adjacent needs but don't currently overlap on shipped themes. dggridR and scoringutils 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 dggridR better than scoringutils?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dggridR and scoringutils 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 dggridR?
Top dggridR alternatives in Analytics are ranked by recent ship velocity. Browse the "dggridR alternatives" section above for the current picks, or visit /alternatives/dggridr for the full list with editorial commentary on each.
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.