Modeling and Forecasting Visitor Counts Using Social Media R package VisitorCounts version 2.0.4 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> . Software Depends: R (>= 3.5.0) Imports: Rssa, methods, ggplot2, zoo, cowplot Suggests: knitr, rmarkdown, testthat Robert Bowen <robertbowen.bham@gmail.com> Comprehensive R Archive Network (CRAN) Robert Bowen [aut, cre], Russell Goebel [aut], Beth Ann Brackett [ctb], Kimihiro Noguchi [aut], Dylan Way [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=VisitorCounts/LICENSE) 2026-05-27 application/tgz https://CRAN.R-project.org/package=VisitorCounts doi:10.32614/CRAN.package.VisitorCounts