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ggmapinset vs impIndicator

A side-by-side editorial comparison of ggmapinset and impIndicator — release velocity, themes, recent moves, and the top alternatives to consider.

ggmapinset vs impIndicator: at a glance

FeatureggmapinsetimpIndicator
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, geospatial, inset-maps, extension-apibiodiversity, invasive-species, occurrence-cubes, uncertainty
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is ggmapinset?

A ggplot2 inset-map extension that is now infrastructure for other packages

ggmapinset adds magnified inset panels to ggplot2 sf maps, handling the coordinate transformation, the inset frame and the sf-related stat layers that have to follow it. The 0.5.0 release is aimed less at end users than at extension authors: coerce_centre() is a new extension point required by sibling package ggautomap, and the inset parameter drops NA in favour of waiver() as its default. It comes from cidm-ph, alongside nswgeo.

Read the full ggmapinset trajectory →

What is impIndicator?

Biodiversity impact indicators settle their vocabulary before 1.0

impIndicator computes indicators of alien-species impact from GBIF-style occurrence cubes, producing species-level, site-level and regional measures with visualisation. The latest release renames the three headline functions to compute_species_indicator(), compute_site_indicator() and compute_regional_indicator(), drops the division by total occupied sites, and fixes the exponential transformation of impact categories into scores. It is part of the b-cubed-eu family and leans on sibling tooling rather than reimplementing it.

Read the full impIndicator trajectory →

ggmapinset vs impIndicator: editorial side-by-side

G
ggmapinset
ANALYTICS
0.0

A ggplot2 inset-map extension that is now infrastructure for other packages

◆ Current state

ggmapinset adds magnified inset panels to ggplot2 sf maps, handling the coordinate transformation, the inset frame and the sf-related stat layers that have to follow it. The 0.5.0 release is aimed less at end users than at extension authors: coerce_centre() is a new extension point required by sibling package ggautomap, and the inset parameter drops NA in favour of waiver() as its default. It comes from cidm-ph, alongside nswgeo.

◆ Where it's heading

The package has moved steadily from feature to foundation. 0.3.0 replaced confusing parameter names and rebuilt everything on stat_sf_inset() so coordinate limits stayed correct, then exposed transform_to_inset() explicitly for extension developers. 0.4.0 generalised inset shapes beyond circles to rectangles and arbitrary sf geometries. 0.5.0 continues in that direction, changing defaults in ways that require downstream extensions to adapt — the cost of being depended upon.

◆ Prediction

Expect further extension points driven by what ggautomap and the other cidm-ph mapping packages need, with the user-facing inset API staying largely settled after the shape generalisation.

I
impIndicator
ANALYTICS
0.0

Biodiversity impact indicators settle their vocabulary before 1.0

◆ Current state

impIndicator computes indicators of alien-species impact from GBIF-style occurrence cubes, producing species-level, site-level and regional measures with visualisation. The latest release renames the three headline functions to compute_species_indicator(), compute_site_indicator() and compute_regional_indicator(), drops the division by total occupied sites, and fixes the exponential transformation of impact categories into scores. It is part of the b-cubed-eu family and leans on sibling tooling rather than reimplementing it.

◆ Where it's heading

Two threads run through the recent releases. One is uncertainty: 0.6.0 wires in dubicube for cross-validation and uncertainty estimation on the indicators, moving output from point estimates toward quantified confidence. The other is scoping and naming — user-supplied sf regions in 0.4.0, occurrence-cube construction in 0.5.0, then the 0.6.1 rename — the pattern of a package tightening its public vocabulary as it approaches a stable release.

◆ Prediction

With the naming settled and uncertainty estimation in place, the next step is most likely consolidation toward a 1.0 — documentation and vignettes against the renamed functions rather than further indicator types.

Alternatives to ggmapinset and impIndicator

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 ggmapinset or impIndicator.

See all ggmapinset alternatives → · See all impIndicator alternatives →

Recent activity from ggmapinset and impIndicator

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 4mo agoimpIndicatorIndicator functions renamed; scores no longer site-normalised
  2. 4mo agoggmapinsetNew extension point for ggautomap; waiver() replaces NA
  3. 5mo agoimpIndicatorUncertainty estimation for impact indicators via dubicube
  4. 7mo agoimpIndicatorExport impact_cube_data() for building impact occurrence cubes
  5. 8mo agoimpIndicatorIndicators can be computed for a user-supplied region
  6. 8mo agoimpIndicatorimpIndicator 0.3.2
  7. 9mo agoimpIndicatorimpIndicator 0.3.1
  8. 1y agoggmapinsetRectangular and arbitrary sf inset shapes
  9. 3y agoggmapinsetRebuilt on stat_sf_inset() with corrected coordinate limits

Frequently asked questions

What is the difference between ggmapinset and impIndicator?

They serve adjacent needs but don't currently overlap on shipped themes. ggmapinset and impIndicator 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.

Is ggmapinset better than impIndicator?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggmapinset and impIndicator 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.

What are the best alternatives to ggmapinset?

Top ggmapinset alternatives in Analytics are ranked by recent ship velocity. Browse the "ggmapinset alternatives" section above for the current picks, or visit /alternatives/ggmapinset for the full list with editorial commentary on each.

What are the best alternatives to impIndicator?

Top impIndicator alternatives in Analytics are ranked by recent ship velocity. Browse the "impIndicator alternatives" section above for the current picks, or visit /alternatives/impindicator for the full list with editorial commentary on each.