qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
CatastRoNav vs ggmagnify
A side-by-side editorial comparison of CatastRoNav and ggmagnify — release velocity, themes, recent moves, and the top alternatives to consider.
CatastRoNav vs ggmagnify: at a glance
What is CatastRoNav?
Navarre's cadastre client finally reaches feature parity with its bigger Spanish sibling.
CatastRoNav wraps the Cadastre of Navarre, a Spanish region that publishes its own cadastral services separately from the national system. Until 1.0.0 the package could only fetch cadastral parcels via ATOM; it now retrieves buildings and addresses through ATOM as well and adds WMS INSPIRE layer access through catrnav_wms_get_layer(). The same release relicenses to GPL-2, moves requests to httr2 with retries and switches messaging to cli.
What is ggmagnify?
A single-purpose ggplot2 inset tool, refining the same three arguments.
ggmagnify draws magnified insets of a region of a ggplot, with projection lines connecting the inset to its source area. The visible releases are all small refinements to how that inset looks — corner radius, fill between projection lines — plus one fix for inset themes being overridden. There are only three entries, so the picture is necessarily partial.
CatastRoNav vs ggmagnify: editorial side-by-side
CatastRoNav
0.0ANALYTICS
Navarre's cadastre client finally reaches feature parity with its bigger Spanish sibling.
◆ Current state
CatastRoNav wraps the Cadastre of Navarre, a Spanish region that publishes its own cadastral services separately from the national system. Until 1.0.0 the package could only fetch cadastral parcels via ATOM; it now retrieves buildings and addresses through ATOM as well and adds WMS INSPIRE layer access through catrnav_wms_get_layer(). The same release relicenses to GPL-2, moves requests to httr2 with retries and switches messaging to cli.
◆ Where it's heading
The package is being pulled into line with CatastRo, the maintainer's national-cadastre client: same transport, same UTF-8 normalization strategy, same option names falling back to the CatastRo equivalents. Coverage has been gated by what the Navarre Cadastre actually publishes — 0.1.0 said outright that further ATOM capabilities would arrive when the regional service made them available, and 1.0.0 is that promise landing.
◆ Prediction
Expect the next releases to track new Navarre service endpoints as they are published, and to inherit whatever maintenance pattern CatastRo adopts next.
ggmagnify
0.0ANALYTICS
A single-purpose ggplot2 inset tool, refining the same three arguments.
◆ Current state
ggmagnify draws magnified insets of a region of a ggplot, with projection lines connecting the inset to its source area. The visible releases are all small refinements to how that inset looks — corner radius, fill between projection lines — plus one fix for inset themes being overridden. There are only three entries, so the picture is necessarily partial.
◆ Where it's heading
Work concentrates on the visual finish of the inset rather than on new capability, which is what a package with one job should look like. Two feature releases a week apart in early 2024 suggest a short burst of attention rather than sustained development, and the feed goes quiet after mid-2024.
◆ Prediction
Too few entries to call a direction with confidence; continued small styling arguments would be consistent with what is visible.
Alternatives to CatastRoNav and ggmagnify
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 CatastRoNav or ggmagnify.
constants
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
austraits
The R client for AusTraits spends its releases chasing the dataset it reads.
ggdemetra
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
fossilsim
A fossil-record simulator that quietly grew a trait-evolution engine.
tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all CatastRoNav alternatives → · See all ggmagnify alternatives →
Recent activity from CatastRoNav and ggmagnify
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoCatastRoNavBuildings, addresses and WMS layers arrive in 1.0.0 ⚡
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoCatastRoNavATOM parcel retrieval and a caching system
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
- 3y agoCatastRoNavGeometry validity fix for returned sf objects
- 3y agoCatastRoNavFirst release opens the Navarre cadastre to R
Frequently asked questions
What is the difference between CatastRoNav and ggmagnify?
They serve adjacent needs but don't currently overlap on shipped themes. CatastRoNav and ggmagnify 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 CatastRoNav better than ggmagnify?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CatastRoNav and ggmagnify 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 CatastRoNav?
Top CatastRoNav alternatives in Analytics are ranked by recent ship velocity. Browse the "CatastRoNav alternatives" section above for the current picks, or visit /alternatives/catastronav for the full list with editorial commentary on each.
What are the best alternatives to ggmagnify?
Top ggmagnify alternatives in Analytics are ranked by recent ship velocity. Browse the "ggmagnify alternatives" section above for the current picks, or visit /alternatives/ggmagnify for the full list with editorial commentary on each.