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FedData vs waywiser

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

Shared themes:r-package

FedData vs waywiser: at a glance

FeatureFedDatawaywiser
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesropensci, geospatial, r-package, open-dataspatial-statistics, model-assessment, tidymodels, cran-compliance
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is FedData?

FedData has spent two major versions migrating US federal geodata off R's retiring spatial stack.

FedData downloads and standardises US federal geospatial datasets — NLCD, NHD, NED, SSURGO, Daymet, GHCN, PAD-US, NASS — into consistent R objects. Two breaking majors define the current package: 3.0.0 moved returns to sf and raster and pulled data from cloud-optimised GeoTIFFs, and 4.0.0 finished the job by dropping sp and raster entirely for terra and sf. Recent releases are dataset refreshes, most recently PAD-US 4.0.

Read the full FedData 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 →

FedData vs waywiser: editorial side-by-side

F
FedData
ANALYTICS
0.0

FedData has spent two major versions migrating US federal geodata off R's retiring spatial stack.

◆ Current state

FedData downloads and standardises US federal geospatial datasets — NLCD, NHD, NED, SSURGO, Daymet, GHCN, PAD-US, NASS — into consistent R objects. Two breaking majors define the current package: 3.0.0 moved returns to sf and raster and pulled data from cloud-optimised GeoTIFFs, and 4.0.0 finished the job by dropping sp and raster entirely for terra and sf. Recent releases are dataset refreshes, most recently PAD-US 4.0.

◆ Where it's heading

The package tracks two moving targets at once: the R spatial stack, which it has now fully migrated onto terra and sf, and the federal agencies whose URLs, file naming and hosting keep shifting. With the dependency migration finished, releases have shrunk to single-dataset updates such as annual NLCD and PAD-US 4.0, which suggests the structural work is done and the ongoing cost is data-source maintenance.

◆ Prediction

Expect continued small releases pinned to new vintages of the underlying federal datasets, plus fixes when an agency moves or reformats a source; no further dependency-level upheaval is visible in these entries.

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 FedData 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 FedData or waywiser.

See all FedData alternatives → · See all waywiser alternatives →

Recent activity from FedData and waywiser

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

  1. 1y agowaywiserStops downloading data during CRAN checks
  2. 1y agoFedDataget_padus() updated to PAD-US 4.0
  3. 1y agowaywiserVignettes no longer write to CRAN directories
  4. 1y agowaywiserKeeps the R version floor below 4.1
  5. 1y agoFedDataAnnual NLCD access added; get_nass() retired
  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 agoFedDatasp and raster dropped; everything returns terra or sf
  10. 3y agoFedDataGHCN moves to https; NHD handles empty and odd geometries
  11. 3y agoFedDataAll raster writing moves to terra
  12. 3y agoFedDataVersion 3 rebuilds on sf and cloud-optimised GeoTIFFs

Frequently asked questions

What is the difference between FedData and waywiser?

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

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

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