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rnaturalearth vs see

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

rnaturalearth vs see: at a glance

Featurernaturalearthsee
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesspatial-data, natural-earth, sf-migration, geopackager, easystats, data-visualization, ggplot2
Last editorial update1h ago8h ago
WebsiteVisit →Visit →

What is rnaturalearth?

rnaturalearth finished its sp exit and is now optimising how the data actually arrives.

1.0.0 ended sp support outright, making sf the default and offering terra's SpatVector via `returnclass`, after 0.3.3 had signposted that with lifecycle badges. The two releases since move to delivery mechanics: 1.1.0 reads data directly out of the zip through the GDAL Virtual File System, starts moving unloaded downloads to GeoPackage instead of shapefile, and switches the base URL to naciscdn.org; 1.2.0 adds caching to `ne_download()` when `destdir` is persistent, swaps devtools for pak when installing the companion data packages, and handles Natural Earth's inconsistent raster zip layouts.

Read the full rnaturalearth trajectory →

What is see?

see grows wherever easystats adds a diagnostic, one plot method at a time.

see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.

Read the full see trajectory →

rnaturalearth vs see: editorial side-by-side

R
rnaturalearth
ANALYTICS
0.0

rnaturalearth finished its sp exit and is now optimising how the data actually arrives.

◆ Current state

1.0.0 ended sp support outright, making sf the default and offering terra's SpatVector via `returnclass`, after 0.3.3 had signposted that with lifecycle badges. The two releases since move to delivery mechanics: 1.1.0 reads data directly out of the zip through the GDAL Virtual File System, starts moving unloaded downloads to GeoPackage instead of shapefile, and switches the base URL to naciscdn.org; 1.2.0 adds caching to `ne_download()` when `destdir` is persistent, swaps devtools for pak when installing the companion data packages, and handles Natural Earth's inconsistent raster zip layouts.

◆ Where it's heading

With the class question settled, the work has shifted to not re-downloading and not unpacking — VFS reads, caching, and a container format that does not need a sidecar of four files. That points at the package being used in repeated or automated contexts rather than interactive one-offs. The shapefile-to-GeoPackage transition is explicitly incomplete.

◆ Prediction

Completing the GeoPackage transition for `load = FALSE` downloads is the obvious next step, since 1.1.0 described it as in progress.

S
see
ANALYTICS
0.0

see grows wherever easystats adds a diagnostic, one plot method at a time.

◆ Current state

see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.

◆ Where it's heading

Growth here is downstream-driven rather than self-directed: see expands to cover new diagnostics as easystats produces them. Running alongside that is a sustained investment in presentation control — theme arguments on plot methods, elements that scale with base_size — which suits users embedding these plots in documents rather than glancing at them interactively.

◆ Prediction

Expect new plot methods to keep arriving in step with performance and parameters releases, with continued theming work rather than any change in the package's scope.

Alternatives to rnaturalearth and see

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 rnaturalearth or see.

See all rnaturalearth alternatives → · See all see alternatives →

Recent activity from rnaturalearth and see

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

  1. 1mo agoseesee 0.14.1 adds plots for prior checks and grouped means
  2. 2mo agoseesee 0.14.0 renders factor loadings as node-edge graphs
  3. 6mo agoseesee 0.13.0 fixes reversed plot sorting, adds theme arguments
  4. 6mo agornaturalearthrnaturalearth 1.2.0
  5. 11mo agoseesee 0.12.0 extends normality checks to psych factor models
  6. 1y agornaturalearthrnaturalearth 1.1.0
  7. 1y agoseesee 0.11.0 scales theme elements with base_size
  8. 1y agoseesee 0.10.0 plots random-effect group levels for mixed models
  9. 2y agornaturalearthrnaturalearth 1.0.0 drops sp for sf and terra
  10. 3y agornaturalearthrnaturalearth 0.3.3 deprecates sp, imports terra

Frequently asked questions

What is the difference between rnaturalearth and see?

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

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

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

What are the best alternatives to see?

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