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Plot scores from neighborhood based contingency tables based on Stein and Stoop article, 2019 Jan Neighborhood-Based Contingency Tables Including Errors Compensation

Usage

plot_spatial_nact(
  plot_data,
  score_name = "NACT",
  point_size = 1.2,
  extend_y_to_zero = TRUE,
  line_width = 1,
  y_label = "auto",
  x_label = "auto",
  flip_axes = FALSE,
  nact_scores = list("all"),
  colour_by = "scale",
  num_facet_cols = NULL,
  ...
)

Arguments

plot_data

A tibble from plot_spatial_verif that contains necessary scores.

score_name

In this context, table name. Technically not really necessary but makes it more intuitive when calling from plot_spatial_verif.

point_size

The size of points to plot.

extend_y_to_zero

Logical. Whether to extend the y-axis to include zero.

line_width

The width of lines to plot. The default is 1.

y_label

Label for the y-axis. Set to "auto" to use "Score". Anything else inside quotes will be used as the y-axis label.

x_label

Label for the x-axis. Set to "auto" to use threshold or scale depending on the data. Anything else inside quotes will be used as the x-axis label.

flip_axes

Logical of whether to swap the x and y axes.

nact_scores

Actual scores to plot. Available scores based on NACT are "fbias", "pod", "far", "pss", "hss", "sedi".

colour_by

The column to colour the plot lines by. Can be an option between scale or threshold.

num_facet_cols

Number of columns in the faceted plot.