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Comparison · Analytics

maplegend vs waywiser

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

Shared themes:r-package

maplegend vs waywiser: at a glance

Featuremaplegendwaywiser
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescartography, legends, base-graphics, spatialspatial-statistics, model-assessment, tidymodels, cran-compliance
Last editorial update54m ago1h ago
WebsiteVisit →Visit →

What is maplegend?

The legend engine mapsf spun out, now covering legend types the parent map package can draw.

maplegend draws the legends for base-R thematic maps, extracted from mapsf so both packages could evolve the legend vocabulary independently. It has been catching up to the map types it has to serve: 0.6.0 added choro_point, choro_line, and choro_symb for choropleth legends rendered on circles, lines, and symbols, following the histogram legend type in 0.4.0. Considerable effort has gone into behaving correctly when the plot aspect ratio is not 1, which required refactoring most of the package in 0.4.0 and still produced a proportional-symbol segment sizing fix in 0.6.3.

Read the full maplegend trajectory →

What is waywiser?

Spatial model assessment that spent the last year on cross-platform arithmetic and CRAN rules.

waywiser provides spatial model assessment metrics in a tidymodels idiom — spatial autocorrelation measures, area of applicability, and multi-scale assessment of predictions. The substantive work landed in 0.3.0 through 0.5.0, and the recent releases are consolidation: 0.6.0 made metric functions return NA everywhere they previously returned NaN, because macOS disagreed with every other platform, and taught ww_multi_scale() to handle classification and class probability metrics correctly when given rasters. The three releases since are entirely CRAN policy compliance — no internet downloads during checks, no writing to directories, no syntax that would raise the R version floor.

Read the full waywiser trajectory →

maplegend vs waywiser: editorial side-by-side

M
maplegend
ANALYTICS
0.0

The legend engine mapsf spun out, now covering legend types the parent map package can draw.

◆ Current state

maplegend draws the legends for base-R thematic maps, extracted from mapsf so both packages could evolve the legend vocabulary independently. It has been catching up to the map types it has to serve: 0.6.0 added choro_point, choro_line, and choro_symb for choropleth legends rendered on circles, lines, and symbols, following the histogram legend type in 0.4.0. Considerable effort has gone into behaving correctly when the plot aspect ratio is not 1, which required refactoring most of the package in 0.4.0 and still produced a proportional-symbol segment sizing fix in 0.6.3.

◆ Where it's heading

This is a support library whose backlog is defined by its caller. Every legend type mapsf can produce needs a matching legend renderer, and the release notes are dominated by spacing, offset, and border details — box_cex for symbol spacing, NA box placement in horizontal choropleth legends, text overflow when no_data is set. The shared vocabulary with mapsf is being maintained deliberately, with val_rnd, val_big, and val_dec propagating through legend types release by release. Version numbering is not monotonic in this feed, with 0.4.0 published seconds after 0.5.0.

◆ Prediction

Expect the remaining combined map types to acquire matching legends and the val_* formatting arguments to reach the types that still lack them.

W
waywiser
ANALYTICS
0.0

Spatial model assessment that spent the last year on cross-platform arithmetic and CRAN rules.

◆ Current state

waywiser provides spatial model assessment metrics in a tidymodels idiom — spatial autocorrelation measures, area of applicability, and multi-scale assessment of predictions. The substantive work landed in 0.3.0 through 0.5.0, and the recent releases are consolidation: 0.6.0 made metric functions return NA everywhere they previously returned NaN, because macOS disagreed with every other platform, and taught ww_multi_scale() to handle classification and class probability metrics correctly when given rasters. The three releases since are entirely CRAN policy compliance — no internet downloads during checks, no writing to directories, no syntax that would raise the R version floor.

◆ Where it's heading

The package has reached the point where the interesting bugs are cross-platform and cross-package rather than statistical. Its main function, ww_multi_scale(), has been the focus of nearly every release since 0.4.0, working through units handling, aggregation ordering, raster inputs and metric-type dispatch. The dependency on vip and the tidymodels metric machinery means a share of releases exist only to track breaking changes elsewhere.

◆ Prediction

Expect the next substantive release to continue on ww_multi_scale() edge cases, given that it has absorbed most of the fixes in this window. The recent run of CRAN-compliance patches suggests no feature work is currently in flight.

Alternatives to maplegend and waywiser

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 maplegend or waywiser.

See all maplegend alternatives → · See all waywiser alternatives →

Recent activity from maplegend and waywiser

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

  1. 2mo agomaplegendContinuous legend formatting and aspect-ratio segment fix
  2. 4mo agomaplegendChoropleth legends on points, lines and symbols
  3. 7mo agomaplegendPackage-wide refactor for non-unity aspect ratios, histogram legends
  4. 7mo agomaplegendSingle-modality legends allowed for typo, symb and prop_line
  5. 1y agomaplegendAlpha transparency and redraw on device resize
  6. 1y agomaplegendOffset and symbol sizing aligned with mapsf
  7. 1y agowaywiserStops downloading data during CRAN checks
  8. 1y agowaywiserVignettes no longer write to CRAN directories
  9. 1y agowaywiserKeeps the R version floor below 4.1
  10. 2y agowaywiserNaN results become NA; raster metrics dispatch correctly
  11. 2y agowaywiserGuards against ignored grid arguments; faster on sf data
  12. 2y agowaywiserFixes wrong observation counts and ignored grid units

Frequently asked questions

What is the difference between maplegend and waywiser?

Both compete on the same themes — r-package — within Analytics. maplegend and waywiser 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 maplegend better than waywiser?

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

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

What are the best alternatives to waywiser?

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