Package: VisitorCounts 2.0.4
VisitorCounts: Modeling and Forecasting Visitor Counts Using Social Media
Performs modeling and forecasting of park visitor counts using social media data and (partial) on-site visitor counts. Specifically, the model is built based on an automatic decomposition of the trend and seasonal components of the social media-based park visitor counts, from which short-term forecasts of the visitor counts and percent changes in the visitor counts can be made. A reference for the underlying model that 'VisitorCounts' uses can be found at Russell Goebel, Austin Schmaltz, Beth Ann Brackett, Spencer A. Wood, Kimihiro Noguchi (2023) <doi:10.1002/for.2965> .
Authors:
VisitorCounts_2.0.4.tar.gz
VisitorCounts_2.0.4.zip(r-4.7)VisitorCounts_2.0.4.zip(r-4.6)VisitorCounts_2.0.4.zip(r-4.5)
VisitorCounts_2.0.4.tgz(r-4.6-any)VisitorCounts_2.0.4.tgz(r-4.5-any)
VisitorCounts_2.0.4.tar.gz(r-4.7-any)VisitorCounts_2.0.4.tar.gz(r-4.6-any)
VisitorCounts_2.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
VisitorCounts/json (API)
| # Install 'VisitorCounts' in R: |
| install.packages('VisitorCounts', repos = c('https://robertbowencodestrivve.r-universe.dev', 'https://cloud.r-project.org')) |
- flickr_userdays - Popularity of Flickr, in User-Days
- forest_visitation - National Forest Visitation Photo-User-Days Data.
- park_visitation - National Park Visitation Counts and Associated Photo-User-Days Data.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:88405bb907. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 164 | ||
| source / vignettes | OK | 206 | ||
| linux-release-x86_64 | OK | 165 | ||
| macos-release-arm64 | OK | 197 | ||
| macos-oldrel-arm64 | OK | 180 | ||
| windows-devel | OK | 109 | ||
| windows-release | OK | 96 | ||
| windows-oldrel | OK | 100 | ||
| wasm-release | OK | 120 |
Exports:auto_decomposecheck_argumentsconvert_ts_forecast_to_dfdecompose_proxyestimate_lagestimate_parametersfit_modelgenerate_proxy_trend_forecastsimputationlabel_visitation_forecastnew_decompositionnew_visitation_forecastnew_visitation_forecast_ensemblenew_visitation_modelprediction_warningtrim_training_datavisitation_modelyearsToMonths
Dependencies:clicolorspacecowplotcpp11farverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrnlmennetR6RColorBrewerRcppRcppArmadillorlangRssaS7scalessvdtimeDateurcavctrsviridisLitewithrzoo
