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aedseo vs spatstat.random

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

Shared themes:r-package

aedseo vs spatstat.random: at a glance

Featureaedseospatstat.random
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesepidemiology, time-series, surveillance, r-packagespatial-statistics, point-processes, simulation, r-package
Last editorial update54m ago8h ago
WebsiteVisit →Visit →

What is aedseo?

An epidemic-onset detector that now brackets the whole season, not just its start

aedseo is a Statens Serum Institut R package for automated early detection of seasonal epidemic onsets, built around growth-rate estimation over consecutive time intervals. The 1.0.0 line moved it well past its original scope: observations are now modelled as cases or population-adjusted incidence, multiple waves can be estimated in one pass, and disease-specific thresholds are computed by a dedicated function. Version 1.1.0 adds an estimate of when a season has ended after the first onset.

Read the full aedseo 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 →

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

A
aedseo
ANALYTICS
0.0

An epidemic-onset detector that now brackets the whole season, not just its start

◆ Current state

aedseo is a Statens Serum Institut R package for automated early detection of seasonal epidemic onsets, built around growth-rate estimation over consecutive time intervals. The 1.0.0 line moved it well past its original scope: observations are now modelled as cases or population-adjusted incidence, multiple waves can be estimated in one pass, and disease-specific thresholds are computed by a dedicated function. Version 1.1.0 adds an estimate of when a season has ended after the first onset.

◆ Where it's heading

The arc runs from a single-purpose onset detector toward a full seasonal-surveillance toolkit. Each release since 1.0.0 has widened what the package can say about a season rather than improving how it says it: incidence denominators, background population, multi-wave detection, thresholds, and now season end. Fixes in between are narrow and numerical, such as confidence intervals under ATLAS BLAS.

◆ Prediction

The natural next step is symmetry with the onset machinery the package already has: turning the 1.1.0 seasonal offset into a first-class output alongside onset, with its own summary and plotting methods.

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 aedseo 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 aedseo or spatstat.random.

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

Recent activity from aedseo 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. 6mo agoaedseocombined_seasonal_output() now estimates when a season ends
  5. 8mo agoaedseoFix growth-rate confidence intervals under ATLAS BLAS
  6. 9mo agoaedseoIncidence, population adjustment and multi-wave detection land in 1.0.0
  7. 10mo agospatstat.randomrunifdisc efficiency and fixed-count simulation options
  8. 1y agospatstat.randomConditional simulation for the cluster process generators
  9. 1y agospatstat.randomFaster rpoispp for tessellation-defined intensity
  10. 2y agoaedseoMaintainership transferred to Lasse Engbo Christiansen
  11. 2y agoaedseoepi_calendar() and richer autoplot displays
  12. 2y agoaedseoFirst CRAN release of the aeddo onset detector

Frequently asked questions

What is the difference between aedseo 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 aedseo 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 aedseo?

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