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ibis.iSDM vs spEDM

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

Shared themes:r-package

ibis.iSDM vs spEDM: at a glance

Featureibis.iSDMspEDM
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, species-distribution-models, terra, spatialcausal-inference, spatial-analysis, empirical-dynamic-modeling, r-package
Last editorial update55m ago5h ago
WebsiteVisit →Visit →

What is ibis.iSDM?

A raster-to-terra migration is the only readable change in a feed of merge notes.

ibis.iSDM fits integrated species distribution models in R. Its release notes are GitHub's auto-generated pull-request lists, so most tags say only which branch was merged and by whom. The one release with a written note, 0.0.5, records the migration from raster to terra across the whole package, with an explicit warning that established code may break.

Read the full ibis.iSDM trajectory →

What is spEDM?

Spatial causal discovery in R, one exposed method per release

spEDM brings empirical dynamic modeling to spatial data — cross mapping, convergent cross mapping and pattern causality over spatial vector and raster inputs, with the numerics in C++ behind S4 generics. The recent releases have exposed geographical pattern causality and spatially convergent partial cross mapping at the R level with vignettes, and 1.12 turns to consolidating the API. It is part of the stscl family alongside the temporal-domain tEDM, with which it shares both its C++ core and its maintainer.

Read the full spEDM trajectory →

ibis.iSDM vs spEDM: editorial side-by-side

I
ibis.iSDM
ANALYTICS
0.0

A raster-to-terra migration is the only readable change in a feed of merge notes.

◆ Current state

ibis.iSDM fits integrated species distribution models in R. Its release notes are GitHub's auto-generated pull-request lists, so most tags say only which branch was merged and by whom. The one release with a written note, 0.0.5, records the migration from raster to terra across the whole package, with an explicit warning that established code may break.

◆ Where it's heading

Direction cannot be read from this feed with any confidence - three of the four visible tags carry nothing beyond merge titles and a full-changelog link. What is visible is a 2023 spent on dependency modernisation and dev-branch merges, ending with a 0.1.1 tag that December and nothing since.

◆ Prediction

These entries do not support a prediction; the notes would have to carry written content before a direction could be read from them.

S
spEDM
ANALYTICS
0.0

Spatial causal discovery in R, one exposed method per release

◆ Current state

spEDM brings empirical dynamic modeling to spatial data — cross mapping, convergent cross mapping and pattern causality over spatial vector and raster inputs, with the numerics in C++ behind S4 generics. The recent releases have exposed geographical pattern causality and spatially convergent partial cross mapping at the R level with vignettes, and 1.12 turns to consolidating the API. It is part of the stscl family alongside the temporal-domain tEDM, with which it shares both its C++ core and its maintainer.

◆ Where it's heading

The cadence is steady and predictable: each release surfaces one more EDM method as an R-level API with a vignette, then spends the rest of its notes on parameter-handling consistency across the generics. Breaking changes are frequent and deliberate — argument renames, parameter reordering, NA-handling defaults — which reads as a package still settling its interface while the method surface expands. Shared changes appear in tEDM within days, so interface churn lands on both packages at once.

◆ Prediction

Expect the next release to expose another causality variant at the R level with an accompanying vignette, and to continue renaming or reordering parameters toward consistency across the spatial and temporal packages.

Alternatives to ibis.iSDM and spEDM

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 ibis.iSDM or spEDM.

See all ibis.iSDM alternatives → · See all spEDM alternatives →

Recent activity from ibis.iSDM and spEDM

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

  1. 4mo agospEDMData slicing for large-scale pattern causality, plus API breaks
  2. 6mo agospEDMspEDM 1.11
  3. 6mo agospEDMSpatially convergent partial cross mapping reaches the R API
  4. 8mo agospEDMRaster cross mapping with anisotropic embedding
  5. 11mo agospEDMConfigurable distance metrics and multithreaded distance computation
  6. 1y agospEDMSpatial logistic map exposed at the R level
  7. 2y agoibis.iSDMVersion 0.1.1
  8. 3y agoibis.iSDMVersion 0.0.7
  9. 3y agoibis.iSDMVersion 0.0.6
  10. 3y agoibis.iSDMraster replaced by terra across the package

Frequently asked questions

What is the difference between ibis.iSDM and spEDM?

Both compete on the same themes — r-package — within Analytics. ibis.iSDM and spEDM 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 ibis.iSDM better than spEDM?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ibis.iSDM and spEDM 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 ibis.iSDM?

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

What are the best alternatives to spEDM?

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