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VisitorCounts  

Modeling and Forecasting Visitor Counts Using Social Media
View on CRAN: Click here


Download and install VisitorCounts package within the R console
Install from CRAN:
install.packages("VisitorCounts")

Install from Github:
library("remotes")
install_github("cran/VisitorCounts")

Install by package version:
library("remotes")
install_version("VisitorCounts", "2.0.2")



Attach the package and use:
library("VisitorCounts")
Maintained by
Robert Bowen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-25
Latest Update: 2023-02-03
Description:
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> .
How to cite:
Robert Bowen (2021). VisitorCounts: Modeling and Forecasting Visitor Counts Using Social Media. R package version 2.0.2, https://cran.r-project.org/web/packages/VisitorCounts. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2021-11-25 09:50), 1.0.1 (2022-04-22 04:20), 1.0.2 (2023-02-03 18:32), 2.0.0 (2024-03-25 06:00), 2.0.1 (2024-07-31 07:50)
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