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Comparison · Analytics
biocro vs spmodel
A side-by-side editorial comparison of biocro and spmodel — release velocity, themes, recent moves, and the top alternatives to consider.
biocro vs spmodel: at a glance
What is biocro?
BioCro swapped an unstable iteration for real root finders, changing what its crop models compute.
BioCro is a C++ crop growth simulator with an R interface, built from swappable modules for photosynthesis, respiration and development. Version 3.3.0 added multidimensional and one-dimensional root finders to the C++ source and put them to work immediately, replacing the fixed-point iteration used for intercellular CO2 with a Dekker root finder on the grounds that fixed-point iteration is known to be unstable there. Getting to that release also required moving from C++11 to C++17 and updating the bundled boost from 1.71 to 1.89.
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.
biocro vs spmodel: editorial side-by-side
biocro
0.0ANALYTICS
BioCro swapped an unstable iteration for real root finders, changing what its crop models compute.
◆ Current state
BioCro is a C++ crop growth simulator with an R interface, built from swappable modules for photosynthesis, respiration and development. Version 3.3.0 added multidimensional and one-dimensional root finders to the C++ source and put them to work immediately, replacing the fixed-point iteration used for intercellular CO2 with a Dekker root finder on the grounds that fixed-point iteration is known to be unstable there. Getting to that release also required moving from C++11 to C++17 and updating the bundled boost from 1.71 to 1.89.
◆ Where it's heading
Two threads run together: the biology is being broken into finer interchangeable modules — separate maintenance respiration, alternative linear and logistic SLA methods, a direct development-index module — while the numerics underneath are being made solvable in general. The root finders are explicitly staged to move into the shared biocro/framework repository, so this is groundwork for other models rather than for this package alone.
◆ Prediction
More module-level alternatives that depend on simultaneous-equation solutions are the natural follow-on, and the root finders should migrate out to biocro/framework as the notes state.
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 biocro 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 biocro or spmodel.
epikit
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
SimInf
SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series
mutagen
A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release
broman
A statistician's personal toolbox, growing one plotting utility at a time
qtl
R/qtl is in pure custodial mode: every recent release answers a compiler, not a user
See all biocro alternatives → · See all spmodel alternatives →
Recent activity from biocro and spmodel
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agospmodelTighter optimiser tolerance to avoid local maxima
- 6mo agobiocroCompiler warning blocking Linux builds fixed
- 6mo agospmodelEmpirical autocovariance function and better block kriging accuracy
- 8mo agobiocroC++ root finders added; Ci calculation moved off fixed-point iteration ⚡
- 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 agobiocroMaintenance respiration module; SLA split into swappable methods
- 1y agospmodelRange constraint option and redefined covariance type names
- 2y agobiocroFirst CRAN-accepted release after a 20 MB to 5 MB cut
- 2y agobiocroDESCRIPTION date refreshed for CRAN submission
- 2y agobiocroCI workflow debugging tag, not a release
Frequently asked questions
What is the difference between biocro and spmodel?
They serve adjacent needs but don't currently overlap on shipped themes. biocro 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 biocro better than spmodel?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. biocro 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 biocro?
Top biocro alternatives in Analytics are ranked by recent ship velocity. Browse the "biocro alternatives" section above for the current picks, or visit /alternatives/biocro-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.