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 generating social media-based
visitor counts can be found at
Wood, Guerry, Silver, and Lacayo (2013) <doi:10.1038/srep02976>.
Version: |
1.0.2 |
Depends: |
R (≥ 3.5.0) |
Imports: |
Rssa, methods |
Suggests: |
knitr, rmarkdown, testthat |
Published: |
2023-02-03 |
Author: |
Russell Goebel [aut],
Robert Bowen [aut, cre],
Beth Ann Brackett [ctb],
Kimihiro Noguchi [aut],
Dylan Way [aut] |
Maintainer: |
Robert Bowen <robertbowen.bham at gmail.com> |
License: |
GPL-3 |
NeedsCompilation: |
no |
Materials: |
README NEWS |
CRAN checks: |
VisitorCounts results |
Documentation:
Downloads:
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