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.
- Version2.0.2
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?No
- Last release08/18/2024
Documentation
Team
Robert Bowen
Kimihiro Noguchi
Show author detailsRolesAuthorRussell Goebel
Show author detailsRolesAuthorBeth Ann Brackett
Show author detailsRolesContributorDylan Way
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports3 packages
- Suggests3 packages