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socialmixr vs spatstat.geom

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

socialmixr vs spatstat.geom: at a glance

Featuresocialmixrspatstat.geom
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themescontact matrices, epidemiology, pipeline api, breaking changesspatial-statistics, computational-geometry, r-package, three-dimensional
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is socialmixr?

socialmixr breaks its one-shot contact_matrix() call into a composable pipeline.

socialmixr builds age-structured social contact matrices from survey data for infectious-disease modelling. Version 0.6.0 replaces the monolithic contact_matrix() entry point with a chain of composable steps — filter, assign age groups, weigh, compute, then symmetrise, split or convert per capita — behind a new contact_matrix S3 class. Survey downloading is being handed off to a separate contactsurveys package.

Read the full socialmixr trajectory →

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.

Read the full spatstat.geom trajectory →

socialmixr vs spatstat.geom: editorial side-by-side

S
socialmixr
ANALYTICS
0.0

socialmixr breaks its one-shot contact_matrix() call into a composable pipeline.

◆ Current state

socialmixr builds age-structured social contact matrices from survey data for infectious-disease modelling. Version 0.6.0 replaces the monolithic contact_matrix() entry point with a chain of composable steps — filter, assign age groups, weigh, compute, then symmetrise, split or convert per capita — behind a new contact_matrix S3 class. Survey downloading is being handed off to a separate contactsurveys package.

◆ Where it's heading

The arc from 0.4.0 to 0.6.0 is decomposition: first extracting helpers like assign_age_groups(), then moving downloads out of the package, and now exposing every stage of matrix construction as its own verb. Breaking changes are accepted at each step — preserved empty age groups, arrays instead of xtabs, [N,Inf) labels — with the new class inheriting from list so existing $matrix access keeps working. The label change is explicitly aligned with the contactmatrix package.

◆ Prediction

Expect the deprecated dotted argument names and the remaining in-package download paths to be removed once the contactsurveys handoff completes, leaving contact_matrix() as a thin wrapper over the pipeline.

S
spatstat.geom
ANALYTICS
2.5

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.

Alternatives to socialmixr and spatstat.geom

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 socialmixr or spatstat.geom.

See all socialmixr alternatives → · See all spatstat.geom alternatives →

Recent activity from socialmixr and spatstat.geom

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

  1. 20d agospatstat.geomMore three-dimensional point pattern capabilities
  2. 2mo agospatstat.geomBetter boundary pixel handling when discretising windows
  3. 3mo agosocialmixrContact matrices become a composable pipeline
  4. 6mo agosocialmixrPatch: load_survey() handles files without cont_id
  5. 6mo agospatstat.geomAnalytic level sets and signed distance transforms
  6. 6mo agosocialmixrAge-group assignment and population lookup split out
  7. 10mo agospatstat.geomNA object handling extended; clickpoly gains grid snapping
  8. 1y agospatstat.geomNA spatial objects, hole removal and connected components
  9. 1y agospatstat.geomNonlinear colour and symbol maps; half-open quadrat tiles
  10. 1y agosocialmixrFaster survey loading and cached Zenodo lookups
  11. 2y agosocialmixrcontact_matrix() now takes survey objects only
  12. 2y agosocialmixrTest fixes for machine-precision failures

Frequently asked questions

What is the difference between socialmixr and spatstat.geom?

They serve adjacent needs but don't currently overlap on shipped themes. spatstat.geom 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 socialmixr better than spatstat.geom?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. spatstat.geom 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 socialmixr?

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

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.