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FedData vs mapsf

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

Shared themes:r-package

FedData vs mapsf: at a glance

FeatureFedDatamapsf
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesropensci, geospatial, r-package, open-datacartography, thematic-maps, spatial, base-graphics
Last editorial update2h ago52m 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 mapsf?

Thematic mapping in base R that finally got a theming system, then spent two years polishing legends.

mapsf produces thematic maps on R's base graphics device — choropleths, proportional symbols, typology maps, rasters, and their combinations, with legends, scale bars, north arrows, and insets as composable elements. Version 1.0.0 was the structural release, introducing a theming system that deprecated eight scattered styling arguments and adding mf_png() and mf_svg() export helpers plus alpha transparency across map types. The 1.1.x and 1.2.x line since then has been steady refinement: background and extent control on the drawing functions, decimal and thousands-separator control in legends, and label placement arguments.

Read the full mapsf trajectory →

FedData vs mapsf: 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.

M
mapsf
ANALYTICS
0.0

Thematic mapping in base R that finally got a theming system, then spent two years polishing legends.

◆ Current state

mapsf produces thematic maps on R's base graphics device — choropleths, proportional symbols, typology maps, rasters, and their combinations, with legends, scale bars, north arrows, and insets as composable elements. Version 1.0.0 was the structural release, introducing a theming system that deprecated eight scattered styling arguments and adding mf_png() and mf_svg() export helpers plus alpha transparency across map types. The 1.1.x and 1.2.x line since then has been steady refinement: background and extent control on the drawing functions, decimal and thousands-separator control in legends, and label placement arguments.

◆ Where it's heading

The package has been consolidating control into fewer, more consistent places. Legend handling moved out to the maplegend package in 0.8.0 and the per-element mf_legend_* functions were deprecated in favor of arguments on the map calls themselves; theming replaced ad-hoc style arguments in 1.0.0; and recent releases keep propagating the same argument vocabulary — bg, extent, leg_val_rnd, leg_val_dec, leg_val_big — across every function that should accept it. Determinism is a visible concern too, with 1.2.1 fixing a seed so mf_distr() point positions stop moving between runs.

◆ Prediction

The recent releases are almost entirely argument-parity work across existing functions, so expect that to continue until the vocabulary is uniform rather than any new map type appearing.

Alternatives to FedData and mapsf

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 mapsf.

See all FedData alternatives → · See all mapsf alternatives →

Recent activity from FedData and mapsf

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

  1. 1mo agomapsfLabel placement arguments and deterministic distribution plots
  2. 2mo agomapsfBackground and extent control across the drawing functions
  3. 7mo agomapsfPNG resolution control and legend number formatting
  4. 1y agomapsf1.0.0 introduces theming and deprecates eight style arguments
  5. 1y agoFedDataget_padus() updated to PAD-US 4.0
  6. 1y agoFedDataAnnual NLCD access added; get_nass() retired
  7. 1y agomapsfPencil-sketch layers, ckmeans breaks, and border extraction
  8. 2y agomapsfGraticule label display fix
  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 mapsf?

Both compete on the same themes — r-package — within Analytics. FedData and mapsf 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 mapsf?

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

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