convert_ts_forecast_to_df

method for converting a timerseries to a dataframe so that it can be plotted with ggplot2 and keep a Date x-axis.

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> .

Robert Bowen

VisitorCounts

Modeling and Forecasting Visitor Counts Using Social Media

Russell Goebel

Beth Ann Brackett

Kimihiro Noguchi

Dylan Way

convert_ts_forecast_to_df function

<dl><dt>forecast</dt>
<dd>timeseries object to convert</dd></dl>

Arguments

convert_ts_forecast_to_df — convert_ts_forecast_to_df

<dl>

<dt>forecast</dt>
<dd>timeseries object to convert</dd>

</dl>

convert_ts_forecast_to_df: convert_ts_forecast_to_df

Description

Usage

Arguments