Plot a hubverse formatted quantile forecast timeseries for a single location. — plot_hubverse_loc_quant

Given a tibble of data properly formatted for a hubverse schema forecast hub submission, plot a timeseries of quantile predictions for a given location.

Usage

plot_hubverse_loc_quant_ts(
  location,
  forecast_data,
  observed_data,
  location_format = "abbr",
  y_transform = "log10",
  linewidth = 2,
  pointsize = 4,
  forecast_linecolor = "darkblue",
  forecast_pointcolor = "darkblue",
  obs_linecolor = "black",
  obs_pointcolor = "black",
  target_name = NULL,
  autotitle = TRUE
)

Arguments

location: location to plot
forecast_data: hubverse format quantile forecast data, as a tibble.
observed_data: observed data, as a tibble.
location_format: format of the provided location. Permitted formats are "abbr" (state/territory or nation two letter USPS abbreviation), "hub" ( legacy 2-digit FIPS code for states and territories, US for the USA as a whole), and "long_name" (full English jurisdiction names; not recommended). Default "abbr".
y_transform: axis transform passed as the transform argument to ggplot2::scale_y_continuous(). Default "log10".
linewidth: linewidth parameter passed to ggplot2::geom_line(). Default 2.
pointsize: size parameter passed to ggplot2::geom_point(). Default 4.
forecast_linecolor: color parameter passed to ggplot2::geom_line() for plotting forecasts. Default "darkblue".
forecast_pointcolor: color parameter passed to ggplot2::geom_point() for plotting forecasts. Default "darkblue".
obs_linecolor: color parameter passed to ggplot2::geom_line() for plotting observed data. Default "black".
obs_pointcolor: color parameter passed to ggplot2::geom_point() for plotting observed data. Default "black".
target_name: Name of the forecast target, for labeling the plot y-axis. Default NULL, in which case a value from the target column in forecast_data will be used.
autotitle: Boolean. Generate an automatic title for the plot from the location name and reference date? Default TRUE.

Value

the plot as a ggplot object