tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
geotargets vs naijR
A side-by-side editorial comparison of geotargets and naijR — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:geospatial
geotargets vs naijR: at a glance
What is geotargets?
Geospatial targets grew from two raster helpers into a tiling and multi-backend pipeline layer.
geotargets extends the targets pipeline framework with target factories that know how to serialise geospatial objects — terra rasters and vectors, stars arrays, raster collections, and VRT references. It completed rOpenSci review and transferred ownership during 0.3.0. Writing behaviour is now configurable through per-target arguments and package-level options.
What is naijR?
naijR is assembling the Nigerian reference data R analysts otherwise hand-code every time.
naijR packages Nigeria-specific data and utilities for R: state and Local Government Area names, choropleth mapping, and phone-number repair. The newest release adds `ngdist`, a UNDP-sourced distance matrix covering road distances between all 37 state capitals, with `ng_distance()` for pairwise lookup in kilometres or miles. The spatial foundation was rebased on sf in 0.6.0, retiring the rgdal-era code.
geotargets vs naijR: editorial side-by-side
geotargets
0.0ANALYTICS
Geospatial targets grew from two raster helpers into a tiling and multi-backend pipeline layer.
◆ Current state
geotargets extends the targets pipeline framework with target factories that know how to serialise geospatial objects — terra rasters and vectors, stars arrays, raster collections, and VRT references. It completed rOpenSci review and transferred ownership during 0.3.0. Writing behaviour is now configurable through per-target arguments and package-level options.
◆ Where it's heading
The arc runs from 'targets can hold a SpatRaster' to 'targets can hold a tiled, dynamically branched raster workflow with controlled datatype and driver.' Recent work is about giving users control over how objects hit disk — datatype, driver, metadata sidecars, pass-through arguments to the underlying writers — which is where correctness problems in geospatial pipelines actually live. External contributors are driving a visible share of it.
◆ Prediction
Expect continued work on write-path fidelity and format coverage rather than new target types, since the last two releases both resolved metadata and driver defaults that were silently losing information.
naijR
0.0ANALYTICS
naijR is assembling the Nigerian reference data R analysts otherwise hand-code every time.
◆ Current state
naijR packages Nigeria-specific data and utilities for R: state and Local Government Area names, choropleth mapping, and phone-number repair. The newest release adds `ngdist`, a UNDP-sourced distance matrix covering road distances between all 37 state capitals, with `ng_distance()` for pairwise lookup in kilometres or miles. The spatial foundation was rebased on sf in 0.6.0, retiring the rgdal-era code.
◆ Where it's heading
The package keeps converting local knowledge into checked data structures. LGA names shared between states got `disambiguate_lga()` with interactive selection; misspellings in the original reference document were corrected; mobile numbers with inconsistent separators, or with the letter O typed for zero, get repaired rather than rejected. Each addition targets a specific way Nigerian administrative or contact data breaks generic tooling, which is a narrower and more durable brief than most country packages take on.
◆ Prediction
With a distance matrix now in place alongside the boundary and naming data, the plausible next step is more derived geography of the same kind rather than new utility functions, though the entries do not say which dataset is next.
Alternatives to geotargets and naijR
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 geotargets or naijR.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
rlistings
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
hoardr
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
See all geotargets alternatives → · See all naijR alternatives →
Recent activity from geotargets and naijR
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agonaijRRoad distances between all 37 state capitals
- 5mo agonaijRDevelopment snapshot of the distance-matrix work
- 1y agogeotargetsGuards sozip metadata option against GDAL below 3.7
- 1y agogeotargetsVRT targets, datatype control, and GPKG default for vectors
- 1y agogeotargetsstars backend and dynamically branched raster tiles ⚡
- 2y agogeotargetsFirst release: raster, vector, and collection targets
- 2y agonaijRMore examples and tighter internal data compression
- 3y agonaijRsf replaces rgdal; LGA name collisions get a resolver
- 3y agonaijRWarning silenced ahead of the spatial stack migration
- 3y agonaijRPackage objects gain base R semantics; phone repair widened
Frequently asked questions
What is the difference between geotargets and naijR?
Both compete on the same themes — geospatial — within Analytics. geotargets and naijR 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 geotargets better than naijR?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. geotargets and naijR 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 geotargets?
Top geotargets alternatives in Analytics are ranked by recent ship velocity. Browse the "geotargets alternatives" section above for the current picks, or visit /alternatives/geotargets for the full list with editorial commentary on each.
What are the best alternatives to naijR?
Top naijR alternatives in Analytics are ranked by recent ship velocity. Browse the "naijR alternatives" section above for the current picks, or visit /alternatives/naijr for the full list with editorial commentary on each.