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> .

Version: 2.0.0
Depends: R (≥ 3.5.0)
Imports: Rssa, methods, ggplot2
Suggests: knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2024-03-25
DOI: 10.32614/CRAN.package.VisitorCounts
Author: Robert Bowen [aut, cre], Russell Goebel [aut], Beth Ann Brackett [ctb], Kimihiro Noguchi [aut], Dylan Way [aut]
Maintainer: Robert Bowen <robertbowen.bham at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: VisitorCounts results


Reference manual: VisitorCounts.pdf
Vignettes: national_park_analysis


Package source: VisitorCounts_2.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): VisitorCounts_2.0.0.tgz, r-oldrel (arm64): VisitorCounts_2.0.0.tgz, r-release (x86_64): VisitorCounts_2.0.0.tgz, r-oldrel (x86_64): VisitorCounts_2.0.0.tgz
Old sources: VisitorCounts archive


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