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: | 1.0.1 |
Depends: | R (≥ 2.10) |
Imports: | Rssa, methods |
Suggests: | knitr, rmarkdown, testthat |
Published: | 2022-04-22 |
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 |
Reference manual: | VisitorCounts.pdf |
Vignettes: |
national_park_analysis influencing_factors_analysis |
Package source: | VisitorCounts_1.0.1.tar.gz |
Windows binaries: | r-devel: VisitorCounts_1.0.1.zip, r-release: VisitorCounts_1.0.1.zip, r-oldrel: VisitorCounts_1.0.1.zip |
macOS binaries: | r-release (arm64): VisitorCounts_1.0.1.tgz, r-oldrel (arm64): VisitorCounts_1.0.1.tgz, r-release (x86_64): VisitorCounts_1.0.1.tgz, r-oldrel (x86_64): VisitorCounts_1.0.1.tgz |
Old sources: | VisitorCounts archive |
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