bsvarSIGNs
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
A side-by-side editorial comparison of geocomplexity and HydroPortailStats — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | geocomplexity | HydroPortailStats |
|---|---|---|
| Sector | Infra & APIs | Infra & APIs |
| Velocity score | 0.0 | 0.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | spatial-statistics, r-package, geographically-weighted-regression, raster | hydrology, flood-frequency, bayesian-statistics, extreme-values |
| Last editorial update | 1h ago | 58m ago |
| Website | Visit → | Visit → |
A spatial complexity package that shipped its method, then went quiet
geocomplexity computes geographical complexity from spatial dependence and configuration similarity across both vector and raster data, and uses it to build spatial weight matrices and a complexity-aware geographically weighted regression. That capability arrived complete in the 0.1.0 release of September 2024. The three releases since contain no functional change: a citation file, a dependency trim, one function moved out to a sibling package, and a maintainer surname correction.
France's national flood statistics, ported out of Fortran and into R.
HydroPortailStats exposes the statistical machinery behind the French HydroPortail — distribution fitting, quantile curves and their uncertainties for hydrological series. The 2025 release re-implements the HBay Fortran executable in R, adding Bayesian estimation from historical flood records with censored and interval-valued data and systematic measurement error, plus a triangular distribution and truncated random generation.
geocomplexity computes geographical complexity from spatial dependence and configuration similarity across both vector and raster data, and uses it to build spatial weight matrices and a complexity-aware geographically weighted regression. That capability arrived complete in the 0.1.0 release of September 2024. The three releases since contain no functional change: a citation file, a dependency trim, one function moved out to a sibling package, and a maintainer surname correction.
The package sits inside Wenbo Lyu's spatial statistics family, where shared functionality migrates into the common sdsfun package rather than being duplicated across dependents. moran_test left geocomplexity for sdsfun in 0.2.0, which is the same consolidation pattern visible across the author's other packages. What remains here is the method-specific surface, and it has not changed in eighteen months.
The entries give no signal of planned functional work; on this pattern the next release is as likely to be metadata or another function migration to sdsfun as anything user-visible.
HydroPortailStats exposes the statistical machinery behind the French HydroPortail — distribution fitting, quantile curves and their uncertainties for hydrological series. The 2025 release re-implements the HBay Fortran executable in R, adding Bayesian estimation from historical flood records with censored and interval-valued data and systematic measurement error, plus a triangular distribution and truncated random generation.
The package started as a straight extraction of the portal's existing functions and is now absorbing the surrounding legacy toolchain: HBay was a separate compiled program with its own config files, and this release brings both the method and its configuration format inside R. Releases are sparse — three in two years, with an eighteen-month gap before the latest — and the intervening one was CRAN paperwork.
The HBay import came with a configuration-file reader for continuity with the old executable, which suggests further legacy hydrological tooling could follow the same path; the entries name no specific next target.
Other Infra & APIs 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 geocomplexity or HydroPortailStats.
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
Fast design-based estimators for experiments, coasting on CRAN patches.
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
IP address vectors for R that hit 1.0 and then went quiet.
A column-key toolkit for stitching decades of ecological field data into one table.
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
See all geocomplexity alternatives → · See all HydroPortailStats alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. geocomplexity and HydroPortailStats 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. geocomplexity and HydroPortailStats 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 Infra & APIs products to evaluate alongside.
Top geocomplexity alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "geocomplexity alternatives" section above for the current picks, or visit /alternatives/geocomplexity for the full list with editorial commentary on each.
Top HydroPortailStats alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "HydroPortailStats alternatives" section above for the current picks, or visit /alternatives/hydroportailstats for the full list with editorial commentary on each.