plot.decomposition

Methods for plotting objects of the class "decomposition".

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

plot.decomposition function

<dl><dt>x</dt>
<dd>An object of class "decomposition".</dd>
<dt>type</dt>
<dd>A character string. One of "full","period", or "classical". If "full", the full reconstruction is plotted. If "period", the reconstruction of each period is plotted individually. If "classical", the trend and seasonality are plotted.</dd>
<dt>legend</dt>
<dd>A Boolean specifying whether a legend should be added when type is "full". The default option is TRUE.</dd>
<dt>...</dt>
<dd>Additional arguments.</dd></dl>

Arguments

Decomposition Plot Methods — plot.decomposition

<dl>

<dt>x</dt>
<dd>An object of class "decomposition".</dd>


<dt>type</dt>
<dd>A character string. One of "full","period", or "classical". If "full", the full reconstruction is plotted. If "period", the reconstruction of each period is plotted individually. If "classical", the trend and seasonality are plotted.</dd>


<dt>legend</dt>
<dd>A Boolean specifying whether a legend should be added when type is "full". The default option is TRUE.</dd>


<dt>...</dt>
<dd>Additional arguments.</dd>

</dl>

plot.decomposition: Decomposition Plot Methods

Description

Usage

Value

Arguments

Examples