monitOS
monitOS relicenses to MIT, the clearest signal in a sparse Novartis release feed.
Comparison · Analytics
spatstat.geom vs spatstat.random
A side-by-side editorial comparison of spatstat.geom and spatstat.random — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:spatial-statisticsr-packagethree-dimensional
spatstat.geom vs spatstat.random: at a glance
What is spatstat.geom?
The geometry layer under spatstat, steadily absorbing 3D patterns and missing-data semantics
spatstat.geom holds the spatial data structures and geometric operations the rest of the spatstat family builds on — windows, tessellations, images, point patterns and the operations that move between them. Recent releases split their attention between extending those structures to three dimensions and hardening the discretisation code where polygonal geometry meets a pixel grid. 3.8-2 adds more capabilities for three-dimensional point patterns.
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.
spatstat.geom vs spatstat.random: editorial side-by-side
spatstat.geom
2.5ANALYTICS
The geometry layer under spatstat, steadily absorbing 3D patterns and missing-data semantics
◆ Current state
spatstat.geom holds the spatial data structures and geometric operations the rest of the spatstat family builds on — windows, tessellations, images, point patterns and the operations that move between them. Recent releases split their attention between extending those structures to three dimensions and hardening the discretisation code where polygonal geometry meets a pixel grid. 3.8-2 adds more capabilities for three-dimensional point patterns.
◆ Where it's heading
Two threads run through this window. The first is a family-wide push into 3D that originated in the simulation package and has now reached the geometry layer. The second is a slower semantic change: 3.5-0 introduced missing or unavailable (NA) spatial objects, and 3.6-0 followed with more facilities for handling them, meaning an absent window or image became a representable value rather than an error. Around both, the plotting and discretisation code accretes steadily — nonlinear colour maps, plot backgrounds, transparency control, signed distance transforms, and repeated attention to boundary pixels.
◆ Prediction
Expect the 3D surface here to keep filling in behind the simulation package rather than leading it, given that 3.8-2 follows the 3D simulation release by two months. The entries give no indication that the NA work is finished, since it has already spanned two releases.
spatstat.random
2.5ANALYTICS
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 spatstat.geom 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 spatstat.geom or spatstat.random.
kernelshap
kernelshap makes permutation SHAP practical past eight features, then fixes the kernel weights it had wrong.
filtro
filtro moves to S7 and multiplies its feature-scoring methods in a single release.
modeltime.resample
modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.
modeltime.ensemble
modeltime.ensemble wakes after four years, and the work is all tune 2.0 compatibility.
shapviz
shapviz refines its SHAP plots release by release while chasing ggplot2's moving target.
See all spatstat.geom alternatives → · See all spatstat.random alternatives →
Recent activity from spatstat.geom and spatstat.random
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 20d agospatstat.randomEdge-effect-free random Dirichlet-Voronoi tessellation
- 20d agospatstat.geomMore three-dimensional point pattern capabilities
- 2mo agospatstat.randomThree-dimensional point process simulation arrives ⚡
- 2mo agospatstat.geomBetter boundary pixel handling when discretising windows
- 6mo agospatstat.randomGaussian random field generation added
- 6mo agospatstat.geomAnalytic level sets and signed distance transforms
- 10mo agospatstat.randomrunifdisc efficiency and fixed-count simulation options
- 10mo agospatstat.geomNA object handling extended; clickpoly gains grid snapping
- 1y agospatstat.geomNA spatial objects, hole removal and connected components
- 1y agospatstat.randomConditional simulation for the cluster process generators
- 1y agospatstat.geomNonlinear colour and symbol maps; half-open quadrat tiles
- 1y agospatstat.randomFaster rpoispp for tessellation-defined intensity
Frequently asked questions
What is the difference between spatstat.geom and spatstat.random?
Both compete on the same themes — spatial-statistics, r-package, three-dimensional — within Analytics. spatstat.geom and spatstat.random are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 spatstat.geom better than spatstat.random?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. spatstat.geom and spatstat.random are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 spatstat.geom?
Top spatstat.geom alternatives in Analytics are ranked by recent ship velocity. Browse the "spatstat.geom alternatives" section above for the current picks, or visit /alternatives/spatstat-geom 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.