tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
A side-by-side editorial comparison of CMAQ and inbospatial — release velocity, themes, recent moves, and the top alternatives to consider.
CMAQ went global in v5.5, and has been patching that surface ever since.
CMAQ is the EPA's Community Multiscale Air Quality modeling system, used for regulatory and research air quality simulation. Its release rhythm is strictly two-tier: numbered major versions carry new science and fresh benchmark datasets, while the x.y.z.n updates carry bug fixes against documentation and benchmarks that stay pinned to the parent version. The current line is v5.5, which introduced CRACMM2 chemistry and coupling to MPAS-A meteorology, followed by three patch rollups.
A thin R wrapper over Flemish geospatial services, adding one standard at a time
inbospatial gives R users direct access to Flemish and Belgian government spatial services without hand-writing request URLs. Three releases over three years have built it up service by service: WMS and WMTS tile shorthands and projection-distortion utilities first, then the Flanders digital elevation model, and now OGC API Features querying plus layer discovery for WCS services. Much of each release is hardening the MHT-file parsing that these services return.
CMAQ is the EPA's Community Multiscale Air Quality modeling system, used for regulatory and research air quality simulation. Its release rhythm is strictly two-tier: numbered major versions carry new science and fresh benchmark datasets, while the x.y.z.n updates carry bug fixes against documentation and benchmarks that stay pinned to the parent version. The current line is v5.5, which introduced CRACMM2 chemistry and coupling to MPAS-A meteorology, followed by three patch rollups.
The v5.5 patches cluster around the newest and most sensitive components. ISAM source apportionment and DDM-3D sensitivity analysis account for corrections in every one of the three updates, and CRACMM2 needed fixes within months of release. That is the expected shape after a major version lands: the science is stable, the instrumentation built on top of it is not. Parallel I/O work in the latest patch suggests the global configurations are now being run at scales that expose throughput limits.
The next major version will fold these fixes in with new science, documentation and benchmark data — the release notes state this explicitly each time. Until then, expect further ISAM and DDM-3D corrections, which have appeared in every patch so far.
inbospatial gives R users direct access to Flemish and Belgian government spatial services without hand-writing request URLs. Three releases over three years have built it up service by service: WMS and WMTS tile shorthands and projection-distortion utilities first, then the Flanders digital elevation model, and now OGC API Features querying plus layer discovery for WCS services. Much of each release is hardening the MHT-file parsing that these services return.
The package grows by absorbing one more service standard per release rather than by adding abstraction. The 0.1.0 additions point the same way — get_feature_ogc() covers a newer OGC standard alongside the existing WCS and WFS paths, and get_wcs_layers() addresses the practical problem that you cannot query a coverage without first knowing what layers exist. Release cadence is slow and driven by which service the maintainers needed next.
Expect the next release to add another regional service endpoint or extend OGC API Features coverage, on a timescale of a year or more given the gaps between the three releases so far.
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 CMAQ or inbospatial.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
A single-purpose ggplot2 inset tool, refining the same three arguments.
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
gtfstools stopped guarding its own object model and started accepting everyone else's.
The glue package that makes R carry units and uncertainty through the same calculation.
See all CMAQ alternatives → · See all inbospatial alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. CMAQ and inbospatial 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. CMAQ and inbospatial 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 CMAQ alternatives in Analytics are ranked by recent ship velocity. Browse the "CMAQ alternatives" section above for the current picks, or visit /alternatives/cmaq for the full list with editorial commentary on each.
Top inbospatial alternatives in Analytics are ranked by recent ship velocity. Browse the "inbospatial alternatives" section above for the current picks, or visit /alternatives/inbospatial for the full list with editorial commentary on each.