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 generating social media-based visitor counts can be found at Wood, Guerry, Silver, and Lacayo (2013) <doi:10.1038/srep02976>.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: Rssa, ggplot2, ggthemes, tibble, methods
Suggests: knitr, rmarkdown, testthat
Published: 2021-11-25
Author: Russell Goebel [aut], Robert Bowen [aut, cre], Beth Ann Brackett [ctb], Kimihiro Noguchi [aut]
Maintainer: Robert Bowen <robertbowen.bham at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: VisitorCounts results

Documentation:

Reference manual: VisitorCounts.pdf
Vignettes: national_park_analysis

Downloads:

Package source: VisitorCounts_1.0.0.tar.gz
Windows binaries: r-devel: VisitorCounts_1.0.0.zip, r-release: VisitorCounts_1.0.0.zip, r-oldrel: VisitorCounts_1.0.0.zip
macOS binaries: r-release (arm64): VisitorCounts_1.0.0.tgz, r-release (x86_64): VisitorCounts_1.0.0.tgz, r-oldrel: VisitorCounts_1.0.0.tgz

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