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nswgeo vs TidyDensity

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

nswgeo vs TidyDensity: at a glance

FeaturenswgeoTidyDensity
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgeospatial, australia, public-health, reference-datastatistical-distributions, random-generation, parameter-estimation, tidyverse
Last editorial update2h ago48m ago
WebsiteVisit →Visit →

What is nswgeo?

NSW boundary data for R, refreshed as the official sources move

nswgeo packages New South Wales geographic boundaries for R — suburbs, postcodes, local government areas, Primary Health Networks and Local Health Districts — as ready-to-plot sf datasets. The 0.6.0 release refreshes nearly all of them against new upstream sources, moving postcodes to 2021 ABS boundaries and taking LHD boundaries from a new official feed. It is maintained by cidm-ph alongside the mapping packages that consume it, including ggmapinset.

Read the full nswgeo trajectory →

What is TidyDensity?

A distribution catalogue that grows by one family at a time, and rarely breaks anything.

TidyDensity generates tidy-format random data from statistical distributions, with parameter estimation, AIC calculation, summary tables and automatic plotting for each one. Its releases follow a fixed template — breaking changes, new features, minor fixes — and the breaking section is usually empty. Growth comes distribution by distribution: Bernoulli, Burr, triangular, chi-square, zero-truncated negative binomial and others each arrive with a matching set of param_estimate, aic and stats_tbl helpers.

Read the full TidyDensity trajectory →

nswgeo vs TidyDensity: editorial side-by-side

N
nswgeo
ANALYTICS
0.0

NSW boundary data for R, refreshed as the official sources move

◆ Current state

nswgeo packages New South Wales geographic boundaries for R — suburbs, postcodes, local government areas, Primary Health Networks and Local Health Districts — as ready-to-plot sf datasets. The 0.6.0 release refreshes nearly all of them against new upstream sources, moving postcodes to 2021 ABS boundaries and taking LHD boundaries from a new official feed. It is maintained by cidm-ph alongside the mapping packages that consume it, including ggmapinset.

◆ Where it's heading

Every release is dictated by an upstream release calendar rather than a roadmap: the 2023 ASGS, then 2024, then the 2021 ABS postcode boundaries and the new LHD source. That makes field-name churn the package's defining hazard — LGA_NAME_2021 to LGA_NAME_2023 to LGA_NAME_2024, and now lhd_name carrying a Local Health District suffix. The maintainer's habit of registering compatibility aliases through cartographer shows an awareness that these renames break downstream code silently.

◆ Prediction

Expect the next release to track the following ASGS edition with another round of field renames, and any new content to stay in the health-geography area the package's users work in.

T
TidyDensity
ANALYTICS
0.0

A distribution catalogue that grows by one family at a time, and rarely breaks anything.

◆ Current state

TidyDensity generates tidy-format random data from statistical distributions, with parameter estimation, AIC calculation, summary tables and automatic plotting for each one. Its releases follow a fixed template — breaking changes, new features, minor fixes — and the breaking section is usually empty. Growth comes distribution by distribution: Bernoulli, Burr, triangular, chi-square, zero-truncated negative binomial and others each arrive with a matching set of param_estimate, aic and stats_tbl helpers.

◆ Where it's heading

The package is filling out a matrix rather than changing shape — every new distribution gets the same four or five companion functions, so the surface grows predictably and the design does not. What variation exists comes from utilities that work across distributions: MCMC sampling, bootstrap helpers, time series conversion, distribution comparison. The two genuine breaking changes in this window were both internal reworks, moving generation onto data.table and rewriting quantile normalization for speed.

◆ Prediction

The established pattern of adding a distribution with its full helper set is the most likely continuation. Recent releases have been small, suggesting the catalogue is approaching the distributions its author considers worth covering.

Alternatives to nswgeo and TidyDensity

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 nswgeo or TidyDensity.

See all nswgeo alternatives → · See all TidyDensity alternatives →

Recent activity from nswgeo and TidyDensity

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

  1. 4mo agonswgeoSuburb, postcode, PHN and LHD boundaries all refreshed
  2. 6mo agonswgeonswgeo 0.5.1
  3. 11mo agoTidyDensityquantile_normalize rewritten, changing its output
  4. 1y agoTidyDensityDocumentation corrections for two distribution functions
  5. 1y agonswgeoUpdated to the 2024 ASGS release
  6. 2y agoTidyDensityZero-truncated distributions and AIC helpers added in bulk
  7. 2y agoTidyDensityMCMC sampling and quantile normalization join the utilities
  8. 2y agonswgeoTerritories, PHN maps and the outline() helper added
  9. 2y agoTidyDensityGeneration moves to data.table; native pipe raises the R floor
  10. 2y agoTidyDensityDistributions convertible to time series objects

Frequently asked questions

What is the difference between nswgeo and TidyDensity?

They serve adjacent needs but don't currently overlap on shipped themes. nswgeo and TidyDensity 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 nswgeo better than TidyDensity?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. nswgeo and TidyDensity 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 nswgeo?

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

What are the best alternatives to TidyDensity?

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