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Plot a 'report' summarising indicators for both short- and long-term model quality objectives

plot_mqi_report.Rd

This function produces a series of one-dimensional scatter plots reporting all of the spatial and temporal indicators, as well as the MQIs, contained within short- and long-term statistics objects. In non-interactive plots, a dotted vertical line indicates the 90th percentile (for MQIs & TIs) or maximum (for SIs) values for each statistic.

Usage

plot_mqi_report(
  stats_shortterm = NULL,
  stats_longterm = NULL,
  color_fixed = "#4269D0",
  color_indicative = "#EFB118",
  color_outline = "black",
  color_target = "green4",
  censor = 2,
  interactive = FALSE
)

Arguments

stats_shortterm, stats_longterm

The output of summarise_mqo_stats(). All relevant information (e.g., term, params_fixed, etc.) will be passed to this function. stats_shortterm should contain short-term (temporal) statistics, stats_longterm should contain long-term (spatial) statistics. Either of these can be NULL, but at least one should be provided.

color_fixed, color_indicative, color_outline

The colours to use for fixed data, indicative data, and any another annotations. Can be expressed as hex codes, or any colours listed in colors().

color_target

The colour to use for highlighting the target range for each statistic (always 0 to 1). This colour will recieve an alpha value of 0.15 to ensure the scatter markers are still visible against it.

censor

The maximum value to show in the 'report'. Any values above this will be reduced to this value. The default, 2, is twice the size of the objective of 1 and is appropriate for most use cases.

interactive

If FALSE, the default, a static ggplot2 graphic will be returned which can be saved as a PNG, SVG, or other similar format. If TRUE, a dynamic HTML widget will be returned created by plotly.

Value

a patchwork assemblage

See also

Other plotting functions: plot_comparison_bars(), plot_mqi_bars(), plot_mqi_scatter(), plot_timeseries()

Author

Jack Davison

Examples

long <- summarise_mqo_stats(demo_longterm, pollutant = "PM10")
#> ! term assumed to be 'long'.
#> ℹ If this is incorrect, please specify the data's term using the term argument.

short <- summarise_mqo_stats(demo_shortterm, pollutant = "PM10")
#> ! term assumed to be 'short'.
#> ℹ If this is incorrect, please specify the data's term using the term argument.

plot_mqi_report(short, long)