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A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
Comparison · Analytics
spmodel vs vegan
A side-by-side editorial comparison of spmodel and vegan — release velocity, themes, recent moves, and the top alternatives to consider.
spmodel vs vegan: at a glance
What is spmodel?
Spatial regression in R, adding block kriging and then tuning the numerics underneath it
spmodel fits spatial linear and generalised linear models, for both point-referenced and areal data, with prediction and diagnostics attached. Block prediction arrived in 0.11.0 and the releases since have refined it. The most recent release changes optimiser behaviour: the default Nelder-Mead relative stopping tolerance tightens from 1e-4 to 1e-6 to reduce convergence on local rather than global maxima.
What is vegan?
Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.
vegan is the reference R package for ordination and diversity analysis in community ecology. The 2.7 line redesigned constrained ordination graphics from scratch, made adonis defunct in favor of adonis2, and moved permutation tests for partial RDA and db-RDA onto residualized predictors. The current 2.7-5 release is stabilization — parallel processing on Windows, ggvegan compatibility for tidy scores, and arrow label placement.
spmodel vs vegan: editorial side-by-side
spmodel
0.0ANALYTICS
Spatial regression in R, adding block kriging and then tuning the numerics underneath it
◆ Current state
spmodel fits spatial linear and generalised linear models, for both point-referenced and areal data, with prediction and diagnostics attached. Block prediction arrived in 0.11.0 and the releases since have refined it. The most recent release changes optimiser behaviour: the default Nelder-Mead relative stopping tolerance tightens from 1e-4 to 1e-6 to reduce convergence on local rather than global maxima.
◆ Where it's heading
Two threads run in parallel. The first is expanding what can be predicted — point predictions, then areal averages over a region via block kriging, then better accuracy and efficiency for that path as the block size default moved from 1000 to 4000 in 0.12.0. The second is numerical trustworthiness, and it is unusually prominent here: a range-constraint option for stability in 0.9.0, a corrected log determinant of the fixed effects in the restricted log likelihood in 0.11.0, a cloud semivariogram that had been doubling the semivariance fixed in 0.11.1, and now a tighter optimiser tolerance. Several of these silently changed results before they were caught.
◆ Prediction
Expect the maintainers to keep publishing explicit reproduction instructions alongside numerical default changes, as 0.13.0 does by documenting the `control = list(reltol = 1e-4)` escape hatch. The entries give no signal of expansion beyond the current model families.
vegan
0.0ANALYTICS
Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.
◆ Current state
vegan is the reference R package for ordination and diversity analysis in community ecology. The 2.7 line redesigned constrained ordination graphics from scratch, made adonis defunct in favor of adonis2, and moved permutation tests for partial RDA and db-RDA onto residualized predictors. The current 2.7-5 release is stabilization — parallel processing on Windows, ggvegan compatibility for tidy scores, and arrow label placement.
◆ Where it's heading
Two long deprecation programs are converging. Plotting is being pushed out of the package: lattice functions are deprecated in favor of ggplot2 equivalents now living in ggvegan, a separate CRAN package, while vegan's own base graphics were rebuilt around independently configurable score types and pipe-based construction. Meanwhile the statistical core is being made internally consistent — add1 and drop1 no longer use different internal models, and summary is no longer an accepted route to ordination scores.
◆ Prediction
Expect the remaining lattice functions to go defunct and more plotting responsibility to shift to ggvegan, leaving vegan as the statistical engine with a thin base graphics layer.
Alternatives to spmodel and vegan
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 spmodel or vegan.
fastplyr
A fast dplyr stand-in that keeps finding new places to skip work entirely.
trias
Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.
icesSAG
The ICES stock assessment client took upload away in 2024 and spent two years giving it back.
dggridR
A discrete global grid generator grew cell traversal and became a usable spatial index.
ichimoku
A cloud-chart package quietly swapping its dependencies for its maintainer's own libraries.
See all spmodel alternatives → · See all vegan alternatives →
Recent activity from spmodel and vegan
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agospmodelTighter optimiser tolerance to avoid local maxima
- 2mo agoveganParallel processing stabilized, especially on Windows
- 5mo agoveganLattice plotting deprecated as ggvegan reaches CRAN
- 6mo agospmodelEmpirical autocovariance function and better block kriging accuracy
- 9mo agospmodelCloud semivariogram doubling fixed; geometry warnings added
- 10mo agoveganPartial RDA permutation tests adopt residualized predictors
- 1y agospmodelBlock kriging for areal averages and their uncertainty ⚡
- 1y agoveganOrdination graphics rebuilt and adonis made defunct ⚡
- 1y agospmodelRobust semivariogram and new covariance types for areal models
- 1y agoveganRelease chasing undefined behavior in a C function
- 1y agospmodelRange constraint option and redefined covariance type names
- 1y agoveganpca, ca and pco added for unconstrained ordination
Frequently asked questions
What is the difference between spmodel and vegan?
They serve adjacent needs but don't currently overlap on shipped themes. spmodel and vegan 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 spmodel better than vegan?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. spmodel and vegan 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 spmodel?
Top spmodel alternatives in Analytics are ranked by recent ship velocity. Browse the "spmodel alternatives" section above for the current picks, or visit /alternatives/spmodel for the full list with editorial commentary on each.
What are the best alternatives to vegan?
Top vegan alternatives in Analytics are ranked by recent ship velocity. Browse the "vegan alternatives" section above for the current picks, or visit /alternatives/vegan-r for the full list with editorial commentary on each.