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Comparison · Analytics

GSODR vs superspreading

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

GSODR vs superspreading: at a glance

FeatureGSODRsuperspreading
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesropensci, weather-data, r-package, noaaepiverse-trace, superspreading, branching-process, pathogen-emergence
Last editorial update49m ago2h ago
WebsiteVisit →Visit →

What is GSODR?

A weather-station data client that broke one return type to hand back distances instead of bare IDs.

GSODR fetches and tidies NOAA Global Surface Summary of the Day weather data for R. The 4.0.0 release made nearest_stations() return a data.table of full station metadata plus distance in kilometres rather than a character vector of station IDs, with a documented one-liner for anyone who only wanted the IDs. Nothing has shipped since March 2024.

Read the full GSODR trajectory →

What is superspreading?

superspreading now asks whether a pathogen will emerge at all, not just how unevenly it spreads.

superspreading quantifies individual-level variation in transmission — the offspring distributions and summary metrics behind the 20/80 rule — and calculates probabilities of epidemic, extinction and containment. With 0.4.0 it added probability_emergence(), estimating whether an introduced pathogen can evolve into sustained human-to-human transmission. The package moved from experimental to stable in the same release.

Read the full superspreading trajectory →

GSODR vs superspreading: editorial side-by-side

G
GSODR
ANALYTICS
0.0

A weather-station data client that broke one return type to hand back distances instead of bare IDs.

◆ Current state

GSODR fetches and tidies NOAA Global Surface Summary of the Day weather data for R. The 4.0.0 release made nearest_stations() return a data.table of full station metadata plus distance in kilometres rather than a character vector of station IDs, with a documented one-liner for anyone who only wanted the IDs. Nothing has shipped since March 2024.

◆ Where it's heading

The package is mature and its releases read as upkeep: refreshing the internal ISD history database, dropping dependencies in favour of base and curl, and hardening the download path against station-year combinations that do not exist. The 4.0.0 change fits the same pattern of returning more structure by default rather than making callers query twice.

◆ Prediction

The most likely next release is another internal station-history refresh; there is no signal of new data sources or analysis features in these entries.

S0.0

superspreading now asks whether a pathogen will emerge at all, not just how unevenly it spreads.

◆ Current state

superspreading quantifies individual-level variation in transmission — the offspring distributions and summary metrics behind the 20/80 rule — and calculates probabilities of epidemic, extinction and containment. With 0.4.0 it added probability_emergence(), estimating whether an introduced pathogen can evolve into sustained human-to-human transmission. The package moved from experimental to stable in the same release.

◆ Where it's heading

Scope has widened one published framework at a time. 0.2.0 added network-based reproduction numbers, 0.3.0 added the Lloyd-Smith formulation of proportion_transmission() and vendored a branching-process simulator to drop the {bpmodels} dependency, and 0.4.0 implemented and extended the Antia et al. emergence model. Each addition brings a vignette reproducing the source paper's figures, which is how this package treats a method as delivered.

◆ Prediction

The established pattern — implement a published framework, extend it, document it against the original figures — makes another literature-derived addition likelier than internal refactoring.

Alternatives to GSODR and superspreading

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 GSODR or superspreading.

See all GSODR alternatives → · See all superspreading alternatives →

Recent activity from GSODR and superspreading

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

  1. 1y agosuperspreadingprobability_emergence() extends the package into pathogen emergence risk
  2. 1y agosuperspreadingLloyd-Smith transmission proportions; bpmodels dependency removed
  3. 2y agoGSODRnearest_stations() returns metadata and distances
  4. 2y agoGSODRStation history refresh and internal tidying
  5. 2y agosuperspreadingNetwork reproduction numbers and joint individual/population control
  6. 2y agoGSODRBad station-year requests warn instead of failing the batch
  7. 2y agosuperspreadingFirst release: offspring distributions and epidemic risk metrics

Frequently asked questions

What is the difference between GSODR and superspreading?

They serve adjacent needs but don't currently overlap on shipped themes. GSODR and superspreading 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 GSODR better than superspreading?

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

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

What are the best alternatives to superspreading?

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