OHPL
A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
Comparison · Analytics
n2khab vs spmodel
A side-by-side editorial comparison of n2khab and spmodel — release velocity, themes, recent moves, and the top alternatives to consider.
n2khab vs spmodel: at a glance
What is n2khab?
n2khab keeps retracting interpretations of habitat data it can't actually support
n2khab reads and prepares the standardised Flemish Natura 2000 habitat data sources — habitat maps, water surfaces, GRTS master grids — for reproducible analysis. Releases track the publication of new versioned data sources on Zenodo, but the more consequential ones change how the package interprets what it reads. The latest removes an argument outright after the reasoning behind it was found to be wrong.
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.
n2khab vs spmodel: editorial side-by-side
n2khab
0.0ANALYTICS
n2khab keeps retracting interpretations of habitat data it can't actually support
◆ Current state
n2khab reads and prepares the standardised Flemish Natura 2000 habitat data sources — habitat maps, water surfaces, GRTS master grids — for reproducible analysis. Releases track the publication of new versioned data sources on Zenodo, but the more consequential ones change how the package interprets what it reads. The latest removes an argument outright after the reasoning behind it was found to be wrong.
◆ Where it's heading
Two forces shape the package. The first is external: each new habitatmap or watersurfaces vintage needs a supported reader, and the package has absorbed a steady stream of them. The second is a willingness to break its own API when the ecology does not support what the code claimed — the interpreted argument removed because type 3130 occurrences cannot be resolved to a single subtype, the rbbvos+ type dropped as too loosely defined, the collapse default changed to match how users actually need the output shaped. Return structures are also being normalised so element names no longer vary with data source version.
◆ Prediction
The package has said it expects future watersurfaces_hab versions to implement collapsing in the data source itself, so the corresponding argument is a candidate for removal once that lands — the same path the interpreted argument took.
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.
Alternatives to n2khab and spmodel
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 n2khab or spmodel.
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.
vegan
Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.
See all n2khab alternatives → · See all spmodel alternatives →
Recent activity from n2khab and spmodel
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agon2khabn2khab 0.15.1
- 1mo agon2khabn2khab drops an argument built on a wrong ecological assumption
- 2mo agospmodelTighter optimiser tolerance to avoid local maxima
- 5mo agon2khabn2khab adds a reader for the watersurfaces reference points source
- 6mo agospmodelEmpirical autocovariance function and better block kriging accuracy
- 7mo agon2khabn2khab collapses watersurfaces output to unique polygon-type pairs
- 9mo agospmodelCloud semivariogram doubling fixed; geometry warnings added
- 1y agospmodelBlock kriging for areal averages and their uncertainty ⚡
- 1y agospmodelRobust semivariogram and new covariance types for areal models
- 1y agon2khabSupport for watersurfaces 2024 and watersurfaces_hab v6
- 1y agospmodelRange constraint option and redefined covariance type names
- 1y agon2khabn2khab supports the 2023 habitat maps and drops the rbbvos+ type
Frequently asked questions
What is the difference between n2khab and spmodel?
They serve adjacent needs but don't currently overlap on shipped themes. n2khab and spmodel 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 n2khab better than spmodel?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. n2khab and spmodel 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 n2khab?
Top n2khab alternatives in Analytics are ranked by recent ship velocity. Browse the "n2khab alternatives" section above for the current picks, or visit /alternatives/n2khab for the full list with editorial commentary on each.
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.