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
Author:	Robert Bowen [aut, cre], Russell Goebel [aut], Beth Ann Brackett [ctb], Kimihiro Noguchi [aut], Dylan Way [aut]
Maintainer:	Robert Bowen <robertbowen.bham at gmail.com>
License:	GPL-3
NeedsCompilation:	no
Language:	en-US
Materials:	README NEWS
CRAN checks:	VisitorCounts results

Documentation:

Reference manual:	VisitorCounts.pdf
Vignettes:	national_park_analysis

Downloads:

Package source:	VisitorCounts_2.0.0.tar.gz
Windows binaries:	r-devel: VisitorCounts_2.0.0.zip, r-release: VisitorCounts_2.0.0.zip, r-oldrel: VisitorCounts_2.0.0.zip
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

Linking:

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