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Comparison · Analytics
geoarrow-r vs spmodel
A side-by-side editorial comparison of geoarrow-r and spmodel — release velocity, themes, recent moves, and the top alternatives to consider.
geoarrow-r vs spmodel: at a glance
What is geoarrow-r?
geoarrow tracks the GeoArrow spec and otherwise just keeps compiling
geoarrow gives R zero-copy access to geospatial data in the Arrow columnar format, with conversions to and from sf and wk. The package is thin by design — most of the work lives in vendored copies of geoarrow-c and nanoarrow — and its release notes reflect that: the substantive one in the window implemented GeoArrow 0.2 specification features, and everything since has been compiler warnings and a test fixed for a new sf version.
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.
geoarrow-r vs spmodel: editorial side-by-side
geoarrow-r
0.0ANALYTICS
geoarrow tracks the GeoArrow spec and otherwise just keeps compiling
◆ Current state
geoarrow gives R zero-copy access to geospatial data in the Arrow columnar format, with conversions to and from sf and wk. The package is thin by design — most of the work lives in vendored copies of geoarrow-c and nanoarrow — and its release notes reflect that: the substantive one in the window implemented GeoArrow 0.2 specification features, and everything since has been compiler warnings and a test fixed for a new sf version.
◆ Where it's heading
Development is downstream of two things the package does not control: the GeoArrow specification and the C libraries it vendors. When the spec added non-PROJJSON CRS types and spheroidal edge interpolations, the R package followed; when the geoarrow.box type appeared, it gained conversions to and from wk::rct(). Between those, releases exist to keep CRAN builds green. The type-selection work in 0.4.0 — letting callers force geoarrow.wkb output when converting from sf — is the only recent change driven by R-side ergonomics rather than upstream.
◆ Prediction
Given that every feature release so far has implemented a spec revision, the next one likely arrives when GeoArrow publishes its next set of extension types rather than on any schedule of its own.
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 geoarrow-r 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 geoarrow-r 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 geoarrow-r alternatives → · See all spmodel alternatives →
Recent activity from geoarrow-r and spmodel
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agospmodelTighter optimiser tolerance to avoid local maxima
- 2mo agogeoarrow-rgeoarrow 0.4.3
- 6mo agospmodelEmpirical autocovariance function and better block kriging accuracy
- 8mo agogeoarrow-rgeoarrow 0.4.1
- 9mo agospmodelCloud semivariogram doubling fixed; geometry warnings added
- 10mo agogeoarrow-rgeoarrow lets callers choose the geometry type when converting from sf
- 1y agospmodelBlock kriging for areal averages and their uncertainty ⚡
- 1y agogeoarrow-rgeoarrow implements the GeoArrow 0.2 specification features
- 1y agospmodelRobust semivariogram and new covariance types for areal models
- 1y agospmodelRange constraint option and redefined covariance type names
- 2y agogeoarrow-rgeoarrow 0.2.1
- 2y agogeoarrow-rLegacy geoarrow tagged before the rewrite
Frequently asked questions
What is the difference between geoarrow-r and spmodel?
They serve adjacent needs but don't currently overlap on shipped themes. geoarrow-r 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 geoarrow-r better than spmodel?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. geoarrow-r 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 geoarrow-r?
Top geoarrow-r alternatives in Analytics are ranked by recent ship velocity. Browse the "geoarrow-r alternatives" section above for the current picks, or visit /alternatives/geoarrow-r 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.