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.