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broman vs spatstat.random

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

Shared themes:r-package

broman vs spatstat.random: at a glance

Featurebromanspatstat.random
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesstatistics, base-graphics, utilities, r-packagespatial-statistics, point-processes, simulation, r-package
Last editorial update1h ago9h ago
WebsiteVisit →Visit →

What is broman?

A statistician's personal toolbox, growing one plotting utility at a time

broman is Karl Broman's collection of personal R utilities — base-graphics plotting helpers such as grayplot, dotplot and timeplot, running-window summaries, and assorted conveniences. Recent releases alternate between small additions, like runningratio2() with an adaptive window sized to hit a target denominator, and narrow bug fixes in crayons() and jiggle(). Version 0.92 removes an include that had begun warning on CRAN.

Read the full broman trajectory →

What is spatstat.random?

spatstat's simulation engine pushes point process generation into three dimensions

spatstat.random generates random point patterns and simulates point process models for the spatstat family. Its recent releases have moved along two lines at once: filling out three-dimensional simulation, and adding conditional simulation to the established cluster process generators. 3.5-1 is a narrow follow-up adding a random Dirichlet-Voronoi tessellation without edge effects.

Read the full spatstat.random trajectory →

broman vs spatstat.random: editorial side-by-side

B
broman
ANALYTICS
0.0

A statistician's personal toolbox, growing one plotting utility at a time

◆ Current state

broman is Karl Broman's collection of personal R utilities — base-graphics plotting helpers such as grayplot, dotplot and timeplot, running-window summaries, and assorted conveniences. Recent releases alternate between small additions, like runningratio2() with an adaptive window sized to hit a target denominator, and narrow bug fixes in crayons() and jiggle(). Version 0.92 removes an include that had begun warning on CRAN.

◆ Where it's heading

The additions cluster around two themes: time-axis plotting and running-window summaries, both of which have been extended across several releases. Nothing here is planned in the usual sense — functions appear when the author needs them and bugs are fixed when they surface downstream, as jiggle() did through dotplot(). The C-level cleanup in 0.92 matches the same change made to R/qtl the same week, which is what maintaining a set of packages under one author looks like.

◆ Prediction

Both recent function additions extend existing families rather than starting new ones, so the next release is most likely another variant in the running-window or time-plotting group, or a fix surfaced by one of the author's other packages.

S2.5

spatstat's simulation engine pushes point process generation into three dimensions

◆ Current state

spatstat.random generates random point patterns and simulates point process models for the spatstat family. Its recent releases have moved along two lines at once: filling out three-dimensional simulation, and adding conditional simulation to the established cluster process generators. 3.5-1 is a narrow follow-up adding a random Dirichlet-Voronoi tessellation without edge effects.

◆ Where it's heading

The clearest arc is dimensional. 3.5-0 carried inhomogeneous Poisson processes, non-uniform random points and Simple Sequential Inhibition into 3D in a single release, and the sibling geometry package followed two months later with more capabilities for three-dimensional point patterns. Alongside that, the generators have been gaining theoretical range — Gaussian random fields in 3.4-4, a new class of theoretical cluster process models and random diffusion in 3.5-0 — while earlier releases concentrated on conditional simulation and efficiency in the existing 2D routines.

◆ Prediction

Expect the 3D work to continue propagating into the model-fitting and geometry packages before spatstat.random adds another dimension-independent generator, since the 3D features here have already begun appearing downstream. The entries do not indicate which estimator gets 3D support next.

Alternatives to broman and spatstat.random

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 broman or spatstat.random.

See all broman alternatives → · See all spatstat.random alternatives →

Recent activity from broman and spatstat.random

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

  1. 20d agospatstat.randomEdge-effect-free random Dirichlet-Voronoi tessellation
  2. 2mo agospatstat.randomThree-dimensional point process simulation arrives
  3. 6mo agospatstat.randomGaussian random field generation added
  4. 8mo agobromanRemove R_ext/PrtUtil.h include flagged by CRAN
  5. 10mo agobromanFix exact-name matching in crayons()
  6. 10mo agospatstat.randomrunifdisc efficiency and fixed-count simulation options
  7. 11mo agobromanFix jiggle() with factors missing levels
  8. 1y agobromanrunningratio2() uses an adaptive window
  9. 1y agospatstat.randomConditional simulation for the cluster process generators
  10. 1y agospatstat.randomFaster rpoispp for tessellation-defined intensity
  11. 2y agobromantimeplot() added; running functions accept NAs
  12. 2y agobromantime_axis() added for date-time axis labels

Frequently asked questions

What is the difference between broman and spatstat.random?

Both compete on the same themes — r-package — within Analytics. spatstat.random is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is broman better than spatstat.random?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. spatstat.random is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to broman?

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

What are the best alternatives to spatstat.random?

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