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ggspatial vs mlr3viz

A side-by-side editorial comparison of ggspatial and mlr3viz — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:ggplot2

ggspatial vs mlr3viz: at a glance

Featureggspatialmlr3viz
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesgeospatial, ggplot2, r-stats, terra-migrationmlr3, visualization, ggplot2, roc-curves
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is ggspatial?

ggspatial finishes its move off raster and onto terra

ggspatial puts spatial data into ggplot2. Its recent history is a single multi-year migration: terra support arrived alongside raster in 1.1.6, and by 1.1.10 terra is the default in the bundled data loaders while raster is described as deprecated. Everything between those two releases is ggplot2 compatibility patching.

Read the full ggspatial trajectory →

What is mlr3viz?

mlr3viz keeps the ecosystem's plots working while the plots themselves move out

mlr3viz supplies autoplot methods across mlr3 objects — learners, resample and benchmark results, tuning instances, ensemble feature-selection results. Recent releases are mostly defensive: suppressing ggplot2::fortify() warnings on ROC and PRC curves, pinning legend order so plots are deterministic across ggplot2 environments, and tracking mlr3 1.7.2. A visible piece of scope also left, with the LearnerSurvCoxPH plot moving to mlr3proba.

Read the full mlr3viz trajectory →

ggspatial vs mlr3viz: editorial side-by-side

G
ggspatial
ANALYTICS
0.0

ggspatial finishes its move off raster and onto terra

◆ Current state

ggspatial puts spatial data into ggplot2. Its recent history is a single multi-year migration: terra support arrived alongside raster in 1.1.6, and by 1.1.10 terra is the default in the bundled data loaders while raster is described as deprecated. Everything between those two releases is ggplot2 compatibility patching.

◆ Where it's heading

The package tracks the R spatial stack's own generational shift rather than setting direction itself — sf and stars support, then terra, then preparing S3 methods for the next ggplot2. Feature work is rare; the value it delivers is staying current with the layers underneath it.

◆ Prediction

The likely next step is completing the ggplot2 S3 method preparation that 1.1.10 started, with raster support eventually dropped rather than maintained in parallel.

M
mlr3viz
ANALYTICS
2.5

mlr3viz keeps the ecosystem's plots working while the plots themselves move out

◆ Current state

mlr3viz supplies autoplot methods across mlr3 objects — learners, resample and benchmark results, tuning instances, ensemble feature-selection results. Recent releases are mostly defensive: suppressing ggplot2::fortify() warnings on ROC and PRC curves, pinning legend order so plots are deterministic across ggplot2 environments, and tracking mlr3 1.7.2. A visible piece of scope also left, with the LearnerSurvCoxPH plot moving to mlr3proba.

◆ Where it's heading

The package is being narrowed toward generic plotting infrastructure while learner-specific plots migrate to the packages that own those learners. What it does add is access rather than new charts — passing parameters through to precrec::autoplot(), better hints when the wrong autoplot type is requested, and a confidence-interval plot for mlr3inferr. Determinism across ggplot2 versions has become a recurring concern, which is what happens when a visualization package is depended on by documentation and tests.

◆ Prediction

Following the Cox proportional-hazards precedent, further learner-specific plots are likely to move to their owning packages, leaving mlr3viz with the cross-cutting result objects.

Alternatives to ggspatial and mlr3viz

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 ggspatial or mlr3viz.

See all ggspatial alternatives → · See all mlr3viz alternatives →

Recent activity from ggspatial and mlr3viz

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

  1. 18d agomlr3vizmlr3viz 0.11.1 pins legend order for deterministic plots
  2. 5mo agomlr3vizmlr3viz 0.11.0 quiets ggplot2 fortify warnings on ROC curves
  3. 11mo agoggspatialterra becomes the default raster backend
  4. 1y agomlr3vizmlr3viz 0.10.1 passes plotting parameters through to precrec
  5. 1y agomlr3vizmlr3viz 0.10.0 adds a LearnerSurvCoxPH plot
  6. 2y agomlr3vizmlr3viz 0.9.0 adds EnsembleFSResult plots
  7. 2y agomlr3vizmlr3viz 0.8.0 tracks paradox 1.0.0
  8. 2y agoggspatialExample fixes for the updated raster/terra stack
  9. 3y agoggspatialannotation_spatial() fix for the latest ggplot2
  10. 3y agoggspatialFix for behaviour deprecated in ggplot2
  11. 3y agoggspatialterra support, categorical rasters and better stars handling
  12. 8y agoggspatialPackage size and CRAN check time reduced

Frequently asked questions

What is the difference between ggspatial and mlr3viz?

Both compete on the same themes — ggplot2 — within Analytics. mlr3viz 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 ggspatial better than mlr3viz?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3viz 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 ggspatial?

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

What are the best alternatives to mlr3viz?

Top mlr3viz alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3viz alternatives" section above for the current picks, or visit /alternatives/mlr3viz for the full list with editorial commentary on each.