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VisitorCounts
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", "2.0.3") Attach the package and use:
library("VisitorCounts")
Maintained by
Robert Bowen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-25
Latest Update: 2025-01-15
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 2.0.3, https://cran.r-project.org/web/packages/VisitorCounts. Accessed 06 Mar. 2026.
Previous versions and publish date:
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Other R packages that VisitorCounts depends,
imports, suggests or enhances
Complete documentation for VisitorCounts
Functions, R codes and Examples using
the VisitorCounts R package
Some associated functions: auto_decompose . check_arguments . decompose_proxy . estimate_lag . estimate_parameters . fit_model . flickr_userdays . generate_proxy_trend_forecasts . new_decomposition . new_visitation_forecast . new_visitation_model . park_visitation . plot.decomposition . plot.visitation_forecast . plot.visitation_model . predict.decomposition . predict.visitation_model . print.decomposition . print.visitation_forecast . print.visitation_model . summary.decomposition . summary.visitation_forecast . summary.visitation_model . visitation_model .
Some associated R codes: classes.R . data.R . function_auto_decompose.R . function_estimate_lag.R . function_visitation_model.R . helpers_visitation_model.R . methods_plot.R . methods_predict.R . methods_print.R . methods_summary.R . Full VisitorCounts package functions and examples
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