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Comparison · Analytics
spmodel vs watina
A side-by-side editorial comparison of spmodel and watina — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
spmodel vs watina: 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 watina?
A groundwater database client that has started doing the domain analysis too
watina is the R interface to the Watina groundwater monitoring database, and its history is mostly about making data retrieval correct: filter depths guessed conservatively when missing, spatial masking, aggregation methods per observation well, and a long series of fixes to keep the lazy database queries working across dbplyr versions. The most recent release moves past retrieval into interpretation, adding ionic ratio calculation and a Van Wirdum diagram to plot chemistry data.
spmodel vs watina: 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.
watina
0.0ANALYTICS
A groundwater database client that has started doing the domain analysis too
◆ Current state
watina is the R interface to the Watina groundwater monitoring database, and its history is mostly about making data retrieval correct: filter depths guessed conservatively when missing, spatial masking, aggregation methods per observation well, and a long series of fixes to keep the lazy database queries working across dbplyr versions. The most recent release moves past retrieval into interpretation, adding ionic ratio calculation and a Van Wirdum diagram to plot chemistry data.
◆ Where it's heading
The package is drifting from a database client toward a domain toolkit. Early releases fought the data layer — connection handling moved to inbodb, sorting semantics changed, defunct dbplyr calls worked around. Recent work assumes retrieval is solved and adds hydrochemical analysis on top, along with defensive handling for the physically impossible inputs that analysis exposes, such as zero conductivity in the warehouse.
◆ Prediction
Expect further chemistry analysis and plotting helpers rather than new retrieval functions, since that is where the newest release invested and where the accompanying vignette points.
Alternatives to spmodel and watina
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 watina.
tidytransit
tidytransit tracks the GTFS spec as it grows, one reader and one router feature at a time.
oblicubes
A tiny grid renderer for oblique-projection cubes, complete since its first release.
biocro
BioCro swapped an unstable iteration for real root finders, changing what its crop models compute.
redist
redist keeps rewriting the sampler underneath a district-drawing API it has held stable since 4.0.
epiflows
epiflows has shipped four releases in eight years, none of which changed the code.
See all spmodel alternatives → · See all watina alternatives →
Recent activity from spmodel and watina
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agospmodelTighter optimiser tolerance to avoid local maxima
- 4mo agowatinaIonic ratios and Van Wirdum diagrams for chemistry data
- 6mo agospmodelEmpirical autocovariance function and better block kriging accuracy
- 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 agospmodelRange constraint option and redefined covariance type names
- 2y agowatinaKSgeneral moved to Suggests to survive CRAN removal
- 5y agowatinaDataframe input restored after a defunct dbplyr call
- 5y agowatinadbplyr 2.0 compatibility drops the need for a forked dependency
- 5y agowatinaSpatial clustering of wells and richer location attributes
- 6y agowatinaSoil surface calculation fixed after a select() dropped the variable
Frequently asked questions
What is the difference between spmodel and watina?
Both compete on the same themes — r-package — within Analytics. spmodel and watina 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 watina?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. spmodel and watina 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 watina?
Top watina alternatives in Analytics are ranked by recent ship velocity. Browse the "watina alternatives" section above for the current picks, or visit /alternatives/watina-r for the full list with editorial commentary on each.