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ggspatial vs taxa

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

ggspatial vs taxa: at a glance

Featureggspatialtaxa
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgeospatial, ggplot2, r-stats, terra-migrationtaxonomy, vctrs, stalled-rewrite, cran-maintenance
Last editorial update4h 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 taxa?

taxa started a ground-up rewrite in 2021 and has published almost nothing since.

0.4.0 began a complete rewrite aimed at making the component classes behave like base R vectors, explicitly shipping without the `taxmap` class and parking the old implementation inside metacoder until the new one matured. Four years later that is still where things stand: 0.4.2 experimented with `''` instead of `NA` for missing values and chased a vctrs test break, and 0.4.4 fixed CRAN check issues. The releases before the rewrite were the productive ones — `taxonomy_table()`, `print_tree()`, `get_dataset()`, fuzzy name matching, faster parsers.

Read the full taxa trajectory →

ggspatial vs taxa: 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.

T
taxa
ANALYTICS
0.0

taxa started a ground-up rewrite in 2021 and has published almost nothing since.

◆ Current state

0.4.0 began a complete rewrite aimed at making the component classes behave like base R vectors, explicitly shipping without the `taxmap` class and parking the old implementation inside metacoder until the new one matured. Four years later that is still where things stand: 0.4.2 experimented with `''` instead of `NA` for missing values and chased a vctrs test break, and 0.4.4 fixed CRAN check issues. The releases before the rewrite were the productive ones — `taxonomy_table()`, `print_tree()`, `get_dataset()`, fuzzy name matching, faster parsers.

◆ Where it's heading

The rewrite has not landed. `taxmap`, the class most users came for, was never reimplemented in the new design, and the only releases since are CRAN compliance. Meanwhile metacoder still carries the old taxa, which means the ecosystem is running on the version the rewrite was meant to replace. This reads as a stalled migration rather than an active one.

◆ Prediction

Nothing in the entries indicates the rewrite is resuming; the likely next release is another CRAN-check fix. Whether `taxmap` ever arrives in the new design is unresolved.

Alternatives to ggspatial and taxa

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 taxa.

See all ggspatial alternatives → · See all taxa alternatives →

Recent activity from ggspatial and taxa

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

  1. 11mo agoggspatialterra becomes the default raster backend
  2. 1y agotaxataxa 0.4.4 fixes CRAN check issues
  3. 2y agoggspatialExample fixes for the updated raster/terra stack
  4. 3y agoggspatialannotation_spatial() fix for the latest ggplot2
  5. 3y agoggspatialFix for behaviour deprecated in ggplot2
  6. 3y agoggspatialterra support, categorical rasters and better stars handling
  7. 4y agotaxataxa 0.4.2 tries empty strings for missing values
  8. 5y agotaxataxa 0.4.0 begins a base-R-vector rewrite without taxmap
  9. 6y agotaxataxa 0.3.4 fixes n_obs with numeric column names
  10. 6y agotaxataxa 0.3.3 supports numeric column names in taxmap
  11. 7y agotaxataxa 0.3.2 fixes parsers and adds negative class_col indexes
  12. 8y agoggspatialPackage size and CRAN check time reduced

Frequently asked questions

What is the difference between ggspatial and taxa?

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

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

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