← Back to home
Comparison · Infra & APIs

remap vs TrendLSW

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

remap vs TrendLSW: at a glance

FeatureremapTrendLSW
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesspatial-modeling, geostatistics, r-packages, maintenance-modetime-series, wavelets, defaults, plotting
Last editorial update3h ago40m ago
WebsiteVisit →Visit →

What is remap?

A regional-model smoother in long-term maintenance, four years past its last real feature.

remap fits separate models to geographic regions and blends their predictions into a continuous surface, using the min_n nearest observations so region boundaries do not show as discontinuities. The methodological work is finished — the last behavioural change landed in 2022, and everything since has been unit handling, compiler warnings, dependency compatibility and citation updates. The July release is one such patch.

Read the full remap trajectory →

What is TrendLSW?

Wavelet trend estimation tightens the defaults it shipped with.

TrendLSW estimates trend and evolutionary wavelet spectrum for locally stationary time series through a single TLSW() entry point. Its history since the first CRAN appearance is short and centres on defaults and plotting around that function, plus one dataset addition. The latest entry carries both the 1.0.4 and 1.0.3 notes in one body.

Read the full TrendLSW trajectory →

remap vs TrendLSW: editorial side-by-side

R
remap
INFRA · APIS
0.0

A regional-model smoother in long-term maintenance, four years past its last real feature.

◆ Current state

remap fits separate models to geographic regions and blends their predictions into a continuous surface, using the min_n nearest observations so region boundaries do not show as discontinuities. The methodological work is finished — the last behavioural change landed in 2022, and everything since has been unit handling, compiler warnings, dependency compatibility and citation updates. The July release is one such patch.

◆ Where it's heading

This is a stable academic package tracking its ecosystem rather than growing. The visible pattern is reactive maintenance: sf's 1.0.0 transition, ggplot2's size-to-linewidth rename, a gcc-UBSAN error on zero-point distance calculations, and now a check that distance matrices passed to remap() and predict() are converted to kilometres. Note that the feed's timestamps invert the version order — 0.3.1 is stamped seconds after 0.3.2 despite being the earlier release, so recency in this feed is not a reliable guide to sequence.

◆ Prediction

Nothing in these entries points to new capability. The realistic expectation is more of the same: a patch whenever sf, ggplot2 or a CRAN check surfaces an incompatibility, at roughly the observed cadence of one release every year or two.

T
TrendLSW
INFRA · APIS
0.0

Wavelet trend estimation tightens the defaults it shipped with.

◆ Current state

TrendLSW estimates trend and evolutionary wavelet spectrum for locally stationary time series through a single TLSW() entry point. Its history since the first CRAN appearance is short and centres on defaults and plotting around that function, plus one dataset addition. The latest entry carries both the 1.0.4 and 1.0.3 notes in one body.

◆ Where it's heading

The package has moved from getting onto CRAN to correcting the choices it launched with: the spectrum filter defaults were swapped to their trend counterparts, the plot.CI switch was removed in favour of inferring it from what was actually computed, and an example was shrunk to fit check timings. This is consolidation around a stable API rather than expansion.

◆ Prediction

Further releases most likely continue tuning TLSW() defaults and plot behaviour; the entries show no work toward new estimators.

Alternatives to remap and TrendLSW

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 remap or TrendLSW.

See all remap alternatives → · See all TrendLSW alternatives →

Recent activity from remap and TrendLSW

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

  1. 1mo agoremapDistance matrices now converted to kilometres automatically
  2. 8mo agoTrendLSWTrend filter defaults replace spectrum defaults; plot.CI dropped
  3. 1y agoremapCitation updated to the R Journal article
  4. 1y agoremapUBSAN fix, parallel patch and sf search-path independence
  5. 2y agoTrendLSWNew z.acc and z.labels datasets shipped with the package
  6. 2y agoTrendLSWDescription field and plot.TLSW documentation fixes
  7. 3y agoremappredict() can return an upper bound on combined standard errors
  8. 5y agoremapRegions without observations no longer break the prediction surface

Frequently asked questions

What is the difference between remap and TrendLSW?

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

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

What are the best alternatives to remap?

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

What are the best alternatives to TrendLSW?

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