n2kanalysis
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
A side-by-side editorial comparison of CatastRo and OHPL — release velocity, themes, recent moves, and the top alternatives to consider.
Spain's cadastre client spent 1.0.0 breaking its own cache to become a tidy, httr2-native package.
CatastRo pulls parcels, buildings, addresses and WMS map layers from the Spanish Cadastre into R. The 1.0.0 line rebuilt the codebase on httr2, reorganized the cache into topic-based subfolders and moved persistent storage from rappdirs to tools::R_user_dir(), a change that invalidates every pre-1.0.0 cache. The two releases since are documentation and an AI-assisted internal refactor.
A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
OHPL implements ordered homogeneity pursuit lasso, a variable selection method for high-dimensional spectroscopic data that groups correlated predictors before applying a lasso. The functional package was complete by 1.2 in 2017, when prediction, performance evaluation and simulated data generation functions were added. Every release since has touched documentation and packaging only.
CatastRo pulls parcels, buildings, addresses and WMS map layers from the Spanish Cadastre into R. The 1.0.0 line rebuilt the codebase on httr2, reorganized the cache into topic-based subfolders and moved persistent storage from rappdirs to tools::R_user_dir(), a change that invalidates every pre-1.0.0 cache. The two releases since are documentation and an AI-assisted internal refactor.
The arc is consolidation, not expansion: the retrieval surface has been stable since 0.3.0 added street names to addresses, while the maintainer has spent the releases since standardizing transport, output types and messaging. All functions now return tibbles or sf objects with tibble data, and cli handles user-facing output. The same modernization is being applied across the maintainer's other Spanish-data packages.
Expect the next releases to stay in the 1.0.x patch range — documentation, cli wording and CRAN upkeep — unless the Cadastre publishes a new service worth wrapping.
OHPL implements ordered homogeneity pursuit lasso, a variable selection method for high-dimensional spectroscopic data that groups correlated predictors before applying a lasso. The functional package was complete by 1.2 in 2017, when prediction, performance evaluation and simulated data generation functions were added. Every release since has touched documentation and packaging only.
This is a published-method package in the archival phase: the algorithm is fixed, the paper is cited, and the maintainer keeps it installable. The releases read as a timeline of R packaging conventions rather than of the method — tidyverse code style in 2019, roxygen2 Markdown and bibentry() in 2024, Rd HTML validation in 2026. Gaps of two to five years between releases are normal here.
Expect the next release whenever CRAN introduces another documentation or packaging check; there is no indication the method itself will be extended.
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 CatastRo or OHPL.
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
A Fortran-descended optimizer got thread-safe, then found two flags that never worked.
ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.
collapse got a JSS paper and a 7x fmean speedup in the same release.
gtsummary is quietly rebuilding itself around analysis results data, one table verb at a time.
broadcast is filling in NumPy-style array broadcasting for R, operator by operator.
See all CatastRo alternatives → · See all OHPL alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. CatastRo and OHPL 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. CatastRo and OHPL 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.
Top CatastRo alternatives in Analytics are ranked by recent ship velocity. Browse the "CatastRo alternatives" section above for the current picks, or visit /alternatives/catastro for the full list with editorial commentary on each.
Top OHPL alternatives in Analytics are ranked by recent ship velocity. Browse the "OHPL alternatives" section above for the current picks, or visit /alternatives/ohpl for the full list with editorial commentary on each.