← Back to home
Comparison · Analytics

impIndicator vs tEDM

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

Shared themes:r-package

impIndicator vs tEDM: at a glance

FeatureimpIndicatortEDM
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbiodiversity, invasive-species, occurrence-cubes, uncertaintycausal-inference, time-series, empirical-dynamic-modeling, r-package
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is impIndicator?

Biodiversity impact indicators settle their vocabulary before 1.0

impIndicator computes indicators of alien-species impact from GBIF-style occurrence cubes, producing species-level, site-level and regional measures with visualisation. The latest release renames the three headline functions to compute_species_indicator(), compute_site_indicator() and compute_regional_indicator(), drops the division by total occupied sites, and fixes the exponential transformation of impact categories into scores. It is part of the b-cubed-eu family and leans on sibling tooling rather than reimplementing it.

Read the full impIndicator trajectory →

What is tEDM?

The temporal half of the stscl EDM pair, tracking its spatial sibling

tEDM applies empirical dynamic modeling to time series — cross mapping, convergent cross mapping and the logistic map — as the temporal counterpart to spEDM, with which it shares a maintainer and a C++ core. The recent releases are consolidation rather than expansion: index handling in cross mapping corrected, generics taught to accept varying E, k and tau, and the associated paper now cited in the README. Only three releases are visible in the feed.

Read the full tEDM trajectory →

impIndicator vs tEDM: editorial side-by-side

I
impIndicator
ANALYTICS
0.0

Biodiversity impact indicators settle their vocabulary before 1.0

◆ Current state

impIndicator computes indicators of alien-species impact from GBIF-style occurrence cubes, producing species-level, site-level and regional measures with visualisation. The latest release renames the three headline functions to compute_species_indicator(), compute_site_indicator() and compute_regional_indicator(), drops the division by total occupied sites, and fixes the exponential transformation of impact categories into scores. It is part of the b-cubed-eu family and leans on sibling tooling rather than reimplementing it.

◆ Where it's heading

Two threads run through the recent releases. One is uncertainty: 0.6.0 wires in dubicube for cross-validation and uncertainty estimation on the indicators, moving output from point estimates toward quantified confidence. The other is scoping and naming — user-supplied sf regions in 0.4.0, occurrence-cube construction in 0.5.0, then the 0.6.1 rename — the pattern of a package tightening its public vocabulary as it approaches a stable release.

◆ Prediction

With the naming settled and uncertainty estimation in place, the next step is most likely consolidation toward a 1.0 — documentation and vignettes against the renamed functions rather than further indicator types.

T
tEDM
ANALYTICS
0.0

The temporal half of the stscl EDM pair, tracking its spatial sibling

◆ Current state

tEDM applies empirical dynamic modeling to time series — cross mapping, convergent cross mapping and the logistic map — as the temporal counterpart to spEDM, with which it shares a maintainer and a C++ core. The recent releases are consolidation rather than expansion: index handling in cross mapping corrected, generics taught to accept varying E, k and tau, and the associated paper now cited in the README. Only three releases are visible in the feed.

◆ Where it's heading

tEDM moves in lockstep with spEDM. Configurable distance metrics, varying E/k/tau inputs, strict floating-point comparison and the S3 plotting font unification all appear in both packages within days or weeks, as does the maintainer surname correction. The recent balance has tilted toward correcting library and prediction index handling — the kind of repeated attention that suggests the indexing model was the weak point of the shared core.

◆ Prediction

Expect tEDM to keep inheriting the shared-core changes spEDM lands, with its own releases staying small and centred on cross-mapping parameter handling rather than new method surface.

Alternatives to impIndicator and tEDM

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 impIndicator or tEDM.

See all impIndicator alternatives → · See all tEDM alternatives →

Recent activity from impIndicator and tEDM

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

  1. 4mo agotEDMMaintainer name corrected, published paper cited
  2. 4mo agoimpIndicatorIndicator functions renamed; scores no longer site-normalised
  3. 5mo agoimpIndicatorUncertainty estimation for impact indicators via dubicube
  4. 7mo agotEDMCross-mapping index handling corrected, generics accept varying E, k, tau
  5. 7mo agoimpIndicatorExport impact_cube_data() for building impact occurrence cubes
  6. 8mo agoimpIndicatorIndicators can be computed for a user-supplied region
  7. 8mo agoimpIndicatorimpIndicator 0.3.2
  8. 9mo agoimpIndicatorimpIndicator 0.3.1
  9. 11mo agotEDMConfigurable distance metrics for cross mapping

Frequently asked questions

What is the difference between impIndicator and tEDM?

Both compete on the same themes — r-package — within Analytics. impIndicator and tEDM 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 impIndicator better than tEDM?

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

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

What are the best alternatives to tEDM?

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