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> .

Provides a suite of analytical functionalities to process and analyze
    visual meteor observations from the Visual Meteor Database
    of the International Meteor Organization <https://www.imo.net/>.

Provides an R interface to the 'vis.js' JavaScript charting
    library. It allows an interactive visualization of networks.

Provides methods to transform omop_result objects into
    formatted tables and figures, facilitating the visualisation of study
    results working with the Observational Medical Outcomes Partnership
    (OMOP) Common Data Model.

Provides tools for visibility analysis in geospatial data. It
    offers functionality to perform isovist calculations, using arbitrary
    geometries as both viewpoints and occluders.

Provides a convenient interface for constructing plots to
    visualize the fit of regression models arising from a wide variety
    of models in R ('lm', 'glm', 'coxph', 'rlm', 'gam', 'locfit', 'lmer',
    'randomForest', etc.)

A library for creating time based charts, like Gantt or timelines. Possible outputs 
  include 'ggplot2' diagrams, 'plotly.js' graphs, 'Highcharts.js' widgets and data.frames. Results can be
  used in the 'RStudio' viewer pane, in 'RMarkdown' documents or in Shiny apps. In the 
  interactive outputs created by vistime() and hc_vistime(), you can interact with the 
  plot using mouse hover or zoom.

Traces information spread through interactions between features, utilising information theory measures and a higher-order generalisation of the concept of widest paths in graphs.
  In particular, 'vistla' can be used to better understand the results of high-throughput biomedical experiments, by organising the effects of the investigated intervention in a tree-like hierarchy from direct to indirect ones, following the plausible information relay circuits.
  Due to its higher-order nature, 'vistla' can handle multi-modality and assign multiple roles to a single feature.