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forecasting vs soilDB

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

forecasting vs soilDB: at a glance

FeatureforecastingsoilDB
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesforecasting, epidemiology, reproducibility, vignettessoil-data, usda-nasis, ssurgo, spatial-queries
Last editorial update2h ago38m ago
WebsiteVisit →Visit →

What is forecasting?

HIDDA.forecasting is a book chapter's reproducibility artifact, not a package under development.

HIDDA.forecasting accompanies a book chapter on forecasting infectious disease counts; its vignettes reproduce the results presented there using arima, prophet, glarma, hhh4contacts and scoringRules. The 1.0.0 release states this outright — it is the version used for the chapter, pinned to CRAN package versions as of July 2018. Every release since has been a vignette rebuild against newer R and dependency versions.

Read the full forecasting trajectory →

What is soilDB?

The R front door to USDA soil data finishes a long deprecation cleanup and turns local-first.

soilDB is the R access layer for USDA-NRCS soil data: NASIS local databases, Soil Data Access, SoilWeb coverage services, and a widening set of curated national grids. The 2.9.x line closed out a multi-release deprecation cycle — column aliases and stringsAsFactors are gone, R 4.1 is the floor, and the bundled sample profile collections were rebuilt against the new schema. Recent work has shifted from adding query functions to making existing ones faster and usable against local SQLite or GeoPackage copies.

Read the full soilDB trajectory →

forecasting vs soilDB: editorial side-by-side

F
forecasting
ANALYTICS
0.0

HIDDA.forecasting is a book chapter's reproducibility artifact, not a package under development.

◆ Current state

HIDDA.forecasting accompanies a book chapter on forecasting infectious disease counts; its vignettes reproduce the results presented there using arima, prophet, glarma, hhh4contacts and scoringRules. The 1.0.0 release states this outright — it is the version used for the chapter, pinned to CRAN package versions as of July 2018. Every release since has been a vignette rebuild against newer R and dependency versions.

◆ Where it's heading

The release pattern is maintenance on an eight-year cadence dictated entirely by the surrounding ecosystem: 1.1.1 rebuilt under R 4.0.4, 1.1.2 under R 4.3.2, 1.1.3 under R 4.6.1, each reporting whether the numbers moved. They mostly have not — the recurring note is minor numerical differences confined to the prophet forecasts in vignette('CHILI_prophet'). The only substantive change in the visible history is 1.1.0's methodological tidy-up of the scoring comparisons.

◆ Prediction

Nothing in these entries points to new functionality; the next release is most likely another vignette rebuild whenever a dependency change or a CRAN check failure forces one.

S
soilDB
ANALYTICS
0.0

The R front door to USDA soil data finishes a long deprecation cleanup and turns local-first.

◆ Current state

soilDB is the R access layer for USDA-NRCS soil data: NASIS local databases, Soil Data Access, SoilWeb coverage services, and a widening set of curated national grids. The 2.9.x line closed out a multi-release deprecation cycle — column aliases and stringsAsFactors are gone, R 4.1 is the floor, and the bundled sample profile collections were rebuilt against the new schema. Recent work has shifted from adding query functions to making existing ones faster and usable against local SQLite or GeoPackage copies.

◆ Where it's heading

The arc points at offline and local-first workflows. downloadSSURGO() and createSSURGO() keep gaining arguments for building and querying local SSURGO databases, and the query internals were rewritten as common table expressions so identical code runs against the remote service or a local file. Coverage is widening in parallel: FY26 SoilWeb maps now reach most OCONUS surveys, while fetchHWSD() and fetchSOLUS() pull in datasets outside the core NASIS/SSURGO pair. Federal URL churn — EDIT, SoilWeb, S3-hosted geometry — is a recurring maintenance tax the package absorbs on users' behalf.

◆ Prediction

Expect the next releases to keep extending parallel and offline SSURGO handling, since LAPPLY.FUN has just opened the door to arbitrary parallel backends, and to fold more curated SoilWeb and FAO datasets behind fetch* wrappers.

Alternatives to forecasting and soilDB

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 forecasting or soilDB.

See all forecasting alternatives → · See all soilDB alternatives →

Recent activity from forecasting and soilDB

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

  1. 1mo agosoilDBFY26 soil maps reach OCONUS; SSURGO downloads go parallel
  2. 1mo agoforecastingVignettes rebuilt under R 4.6.1
  3. 4mo agosoilDBROSETTA v2 lands as the deprecated NASIS aliases are removed
  4. 10mo agosoilDBNASIS record IDs now retrievable through Soil Data Access
  5. 11mo agosoilDBSpatial queries can pull columns from non-spatial tables
  6. 1y agosoilDBNASIS 7.4.3 metadata, plus HWSD and a local cache in 2.8.10
  7. 1y agosoilDBQuery internals rewritten as CTEs for local SQLite support
  8. 2y agoforecastingVignettes rebuilt under R 4.3.2
  9. 5y agoforecastingVignettes rebuilt under R 4.0.4
  10. 7y agoforecastingStandard PIT and discretized log-normal scoring
  11. 7y agoforecastingThe version used for the book chapter, with pinned dependencies

Frequently asked questions

What is the difference between forecasting and soilDB?

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

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

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

What are the best alternatives to soilDB?

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