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naijR vs waywiser

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

naijR vs waywiser: at a glance

FeaturenaijRwaywiser
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesnigeria, geospatial, reference-data, r-languagespatial-statistics, model-assessment, tidymodels, cran-compliance
Last editorial update42m ago2h ago
WebsiteVisit →Visit →

What is naijR?

naijR is assembling the Nigerian reference data R analysts otherwise hand-code every time.

naijR packages Nigeria-specific data and utilities for R: state and Local Government Area names, choropleth mapping, and phone-number repair. The newest release adds `ngdist`, a UNDP-sourced distance matrix covering road distances between all 37 state capitals, with `ng_distance()` for pairwise lookup in kilometres or miles. The spatial foundation was rebased on sf in 0.6.0, retiring the rgdal-era code.

Read the full naijR 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 →

naijR vs waywiser: editorial side-by-side

N
naijR
ANALYTICS
0.0

naijR is assembling the Nigerian reference data R analysts otherwise hand-code every time.

◆ Current state

naijR packages Nigeria-specific data and utilities for R: state and Local Government Area names, choropleth mapping, and phone-number repair. The newest release adds `ngdist`, a UNDP-sourced distance matrix covering road distances between all 37 state capitals, with `ng_distance()` for pairwise lookup in kilometres or miles. The spatial foundation was rebased on sf in 0.6.0, retiring the rgdal-era code.

◆ Where it's heading

The package keeps converting local knowledge into checked data structures. LGA names shared between states got `disambiguate_lga()` with interactive selection; misspellings in the original reference document were corrected; mobile numbers with inconsistent separators, or with the letter O typed for zero, get repaired rather than rejected. Each addition targets a specific way Nigerian administrative or contact data breaks generic tooling, which is a narrower and more durable brief than most country packages take on.

◆ Prediction

With a distance matrix now in place alongside the boundary and naming data, the plausible next step is more derived geography of the same kind rather than new utility functions, though the entries do not say which dataset is next.

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 naijR 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 naijR or waywiser.

See all naijR alternatives → · See all waywiser alternatives →

Recent activity from naijR and waywiser

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

  1. 5mo agonaijRRoad distances between all 37 state capitals
  2. 5mo agonaijRDevelopment snapshot of the distance-matrix work
  3. 1y agowaywiserStops downloading data during CRAN checks
  4. 1y agowaywiserVignettes no longer write to CRAN directories
  5. 1y agowaywiserKeeps the R version floor below 4.1
  6. 2y agowaywiserNaN results become NA; raster metrics dispatch correctly
  7. 2y agowaywiserGuards against ignored grid arguments; faster on sf data
  8. 2y agowaywiserFixes wrong observation counts and ignored grid units
  9. 2y agonaijRMore examples and tighter internal data compression
  10. 3y agonaijRsf replaces rgdal; LGA name collisions get a resolver
  11. 3y agonaijRWarning silenced ahead of the spatial stack migration
  12. 3y agonaijRPackage objects gain base R semantics; phone repair widened

Frequently asked questions

What is the difference between naijR and waywiser?

They serve adjacent needs but don't currently overlap on shipped themes. naijR 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 naijR better than waywiser?

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

Top naijR alternatives in Analytics are ranked by recent ship velocity. Browse the "naijR alternatives" section above for the current picks, or visit /alternatives/naijr 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.