incident.io
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A side-by-side editorial comparison of forestTIME and ggh4x — release velocity, themes, recent moves, and the top alternatives to consider.
A forest-inventory pipeline grew the strata machinery it needs to make population estimates.
forestTIME turns US Forest Inventory and Analysis data into annualized carbon and biomass estimates by interpolating between the years each plot is actually measured. Version 2.2.0 adds fia_assign_strata(), which matches every plot-year to an EVALID, estimation unit and stratum along with the values needed for population-level estimation with variance. The composite ID scheme also changed order, which breaks joins written against the old one.
Handed its axis and legend guides to ggplot2 and legendry, and kept the facets
ggh4x is a set of ggplot2 extensions — nested and manual facets, per-facet scales, forced panel sizes, and statistics such as stat_difference() and stat_rle(). Its guide functions, once a substantial part of the package, are deprecated: 0.3.0 redirected users to ggplot2's own guide arguments and to the legendry package, and 0.3.1 made the deprecated functions return plain equivalents. What remains as this package's own territory is facetting and panel layout.
forestTIME turns US Forest Inventory and Analysis data into annualized carbon and biomass estimates by interpolating between the years each plot is actually measured. Version 2.2.0 adds fia_assign_strata(), which matches every plot-year to an EVALID, estimation unit and stratum along with the values needed for population-level estimation with variance. The composite ID scheme also changed order, which breaks joins written against the old one.
The arc runs from a duckDB-backed script to a package with a design-based estimation story. First the database layer was removed in favour of a single interpolated table; then the function surface was consolidated behind fia_ names and fia_annualize(); then expansion factors appeared; now the stratification the FIA estimators actually require. Each step moves closer to producing estimates users can put an error bar on rather than interpolated numbers.
The notes name a temporary workaround for woodland species, whose carbon and biomass code is missing, and say fia_estimate() will eventually handle them directly. That, plus variance calculation built on the new strata columns, is the visible next work.
ggh4x is a set of ggplot2 extensions — nested and manual facets, per-facet scales, forced panel sizes, and statistics such as stat_difference() and stat_rle(). Its guide functions, once a substantial part of the package, are deprecated: 0.3.0 redirected users to ggplot2's own guide arguments and to the legendry package, and 0.3.1 made the deprecated functions return plain equivalents. What remains as this package's own territory is facetting and panel layout.
The handover was signalled well in advance. Version 0.2.5 set the guides' lifecycle to 'questioning' and said outright they might migrate to a new package once ggplot2 overhauled its guide system, and 0.3.0 executed that eighteen months later. Much of the rest of the changelog is anticipatory compatibility work for upcoming ggplot2 releases, the standing cost of being an extension package. Releases carry playful codenames that say nothing about their contents.
The deprecated guide functions are scheduled for removal in the next non-hotfix release, so expect that next; continued work should concentrate on facets and panel sizing, the areas neither ggplot2 nor legendry has absorbed.
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 forestTIME or ggh4x.
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See all forestTIME alternatives → · See all ggh4x alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. forestTIME and ggh4x 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. forestTIME and ggh4x 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 forestTIME alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "forestTIME alternatives" section above for the current picks, or visit /alternatives/foresttime for the full list with editorial commentary on each.
Top ggh4x alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggh4x alternatives" section above for the current picks, or visit /alternatives/ggh4x for the full list with editorial commentary on each.