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distributional vs mapSpain

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

Shared themes:r-package

distributional vs mapSpain: at a glance

FeaturedistributionalmapSpain
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, probability-distributions, distribution-arithmetic, numerical-methodsspain, administrative-boundaries, geospatial, httr2
Last editorial update46m ago1h ago
WebsiteVisit →Visit →

What is distributional?

distributional taught + and - to work on any pair of distributions, closing the algebra it started with.

The R package providing vectorised distribution objects — the substrate that forecasting and anomaly tooling in the same ecosystem builds on. Cadence has picked up sharply, with four releases in the six months to June 2026 against roughly one a year before that. Two kinds of work alternate: adding distribution families (Dirichlet, Horseshoe, Laplace, multivariate t, g-and-k, the extreme-value pair) and deepening what can be computed generically across all of them.

Read the full distributional trajectory →

What is mapSpain?

mapSpain's 1.0.0 broke every user cache to get the package onto modern foundations.

mapSpain provides administrative boundaries, tile providers and geographic dictionaries for Spain, pulling from GISCO, SIANE, INE and IGN sources. The 1.0.0 release in January 2026 rebuilt it: requests moved to httr2, the cache reorganized into topic-based subfolders under tools::R_user_dir() instead of rappdirs, R 4.1 became the floor, and every function now returns tidy objects. Existing caches are explicitly incompatible and must be rebuilt.

Read the full mapSpain trajectory →

distributional vs mapSpain: editorial side-by-side

D0.0

distributional taught + and - to work on any pair of distributions, closing the algebra it started with.

◆ Current state

The R package providing vectorised distribution objects — the substrate that forecasting and anomaly tooling in the same ecosystem builds on. Cadence has picked up sharply, with four releases in the six months to June 2026 against roughly one a year before that. Two kinds of work alternate: adding distribution families (Dirichlet, Horseshoe, Laplace, multivariate t, g-and-k, the extreme-value pair) and deepening what can be computed generically across all of them.

◆ Where it's heading

The generic-computation thread is the one that matters and it has been building steadily: a Monte Carlo default method for cdf(), has_symmetry() to let algorithms specialise, hdr() moving to exact results for symmetric distributions and 4096 quantiles elsewhere, open-versus-closed support intervals. Version 0.8.0 is where that thread arrives somewhere — arithmetic on arbitrary distributions, with closed forms used when they exist and numerical convolution when they do not. The package is positioning itself as a computational layer rather than a catalogue, which is consistent with how weird and the forecasting packages consume it.

◆ Prediction

Expect the numerical machinery behind dist_convolved() to be reused for other operators, and more generics like has_symmetry() that let downstream algorithms take exact paths when a distribution supports them.

M
mapSpain
ANALYTICS
0.0

mapSpain's 1.0.0 broke every user cache to get the package onto modern foundations.

◆ Current state

mapSpain provides administrative boundaries, tile providers and geographic dictionaries for Spain, pulling from GISCO, SIANE, INE and IGN sources. The 1.0.0 release in January 2026 rebuilt it: requests moved to httr2, the cache reorganized into topic-based subfolders under tools::R_user_dir() instead of rappdirs, R 4.1 became the floor, and every function now returns tidy objects. Existing caches are explicitly incompatible and must be rebuilt.

◆ Where it's heading

The package has finished its modernization and moved into consolidation. 1.1.0 added a configurable query timeout and pinned httr2 for compatibility with giscoR, the sibling package it shares plumbing with; 1.2.0 was a declared internal-only refactor with the public API held fixed and the work described as AI-assisted with human review. The data-source expansion that characterized the 0.9.x and 0.10.x line — comarcas by type, simplified INE geometries, SIANE vintages — has paused while the foundations settle.

◆ Prediction

Expect a return to source coverage now that the refactor is done: new SIANE or INE vintages and additional boundary types are the pattern this package has repeated. The entries show no further architectural work queued.

Alternatives to distributional and mapSpain

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 distributional or mapSpain.

See all distributional alternatives → · See all mapSpain alternatives →

Recent activity from distributional and mapSpain

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

  1. 1mo agodistributionalConditional S3 registration so the package loads on R before 4.3
  2. 1mo agodistributionalDistribution arithmetic: FFT convolution behind the + and - operators
  3. 1mo agomapSpainInternal helper refactor with the public API held fixed
  4. 2mo agodistributionalVectorised p in quantile() for inflated distributions; open brackets on infinite bounds
  5. 4mo agomapSpainQuery timeout becomes configurable
  6. 5mo agodistributionalDirichlet and Horseshoe distributions added
  7. 7mo agomapSpain1.0.0 rebuilds on httr2 and invalidates every cache
  8. 7mo agodistributionalhas_symmetry() generic, exact HDRs for symmetric distributions
  9. 1y agomapSpainComarcas and simplified INE geometries added
  10. 1y agomapSpainComarca types split across four official sources
  11. 1y agodistributionalMonte Carlo cdf() default method; g-and-k, g-and-h and extreme-value families
  12. 1y agomapSpainAdapted to the SIANE 2024 databases

Frequently asked questions

What is the difference between distributional and mapSpain?

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

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

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

What are the best alternatives to mapSpain?

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