n2kanalysis
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
A side-by-side editorial comparison of spatstat.geom and wasserportal — release velocity, themes, recent moves, and the top alternatives to consider.
The geometry layer under spatstat, steadily absorbing 3D patterns and missing-data semantics
spatstat.geom holds the spatial data structures and geometric operations the rest of the spatstat family builds on — windows, tessellations, images, point patterns and the operations that move between them. Recent releases split their attention between extending those structures to three dimensions and hardening the discretisation code where polygonal geometry meets a pixel grid. 3.8-2 adds more capabilities for three-dimensional point patterns.
A Berlin groundwater scraper grew a full IoT publishing pipeline in two days.
wasserportal scrapes groundwater and surface water monitoring data from Wasserportal Berlin — station metadata, water levels, quality series. For its first four years that was the whole product, with releases tracking the portal's own churn: a new API version in 2023, new three-letter variable codes, and a 2026 fix decoding pages as windows-1252 because the server declares UTF-8 but emits Latin-1. In June 2026 it added a ThingsBoard integration, then extended it to self-hosted instances two days later.
spatstat.geom holds the spatial data structures and geometric operations the rest of the spatstat family builds on — windows, tessellations, images, point patterns and the operations that move between them. Recent releases split their attention between extending those structures to three dimensions and hardening the discretisation code where polygonal geometry meets a pixel grid. 3.8-2 adds more capabilities for three-dimensional point patterns.
Two threads run through this window. The first is a family-wide push into 3D that originated in the simulation package and has now reached the geometry layer. The second is a slower semantic change: 3.5-0 introduced missing or unavailable (NA) spatial objects, and 3.6-0 followed with more facilities for handling them, meaning an absent window or image became a representable value rather than an error. Around both, the plotting and discretisation code accretes steadily — nonlinear colour maps, plot backgrounds, transparency control, signed distance transforms, and repeated attention to boundary pixels.
Expect the 3D surface here to keep filling in behind the simulation package rather than leading it, given that 3.8-2 follows the 3D simulation release by two months. The entries give no indication that the NA work is finished, since it has already spanned two releases.
wasserportal scrapes groundwater and surface water monitoring data from Wasserportal Berlin — station metadata, water levels, quality series. For its first four years that was the whole product, with releases tracking the portal's own churn: a new API version in 2023, new three-letter variable codes, and a 2026 fix decoding pages as windows-1252 because the server declares UTF-8 but emits Latin-1. In June 2026 it added a ThingsBoard integration, then extended it to self-hosted instances two days later.
The package is repositioning from a data-access library into the first half of a monitoring pipeline. 0.6.0 shipped push helpers, device discovery and cleanup, an importable dashboard and a GitHub Actions workflow; 0.7.0 immediately generalised the authentication so it works against self-hosted Community Edition rather than only the Cloud tier, and lifted the push from a five-station demo to the entire groundwater archive. The hardening detail in 0.7.0 — retries on 5xx, warnings when only one of two credentials is set — reads like a maintainer who has run this against a real deployment.
The obvious next step is extending the ThingsBoard path to the surface water stations, which the package has flagged as under-supported since 0.1.0. The entries show no other direction under construction.
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 spatstat.geom or wasserportal.
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 spatstat.geom alternatives → · See all wasserportal alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. spatstat.geom is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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. spatstat.geom is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top spatstat.geom alternatives in Analytics are ranked by recent ship velocity. Browse the "spatstat.geom alternatives" section above for the current picks, or visit /alternatives/spatstat-geom for the full list with editorial commentary on each.
Top wasserportal alternatives in Analytics are ranked by recent ship velocity. Browse the "wasserportal alternatives" section above for the current picks, or visit /alternatives/wasserportal for the full list with editorial commentary on each.