Run the full spatio-temporal consistency test

run_consistency_test() evaluates the temporal consistency of Local Moran's I cluster classifications across multiple years. The input accident data can be either:

• A single data.frame containing a year column with multiple years of data.

• A list of sf data frames, each representing a separate year.

The function calculates Local Moran's I for each year and then tests the consistency of classifications over time.

Usage

run_consistency_test(
  network_object,
  accident_data,
  dist_threshold = 1,
  time_threshold = 2,
  p_value_threshold = 0.05,
  time_column = "time",
  year_column = "year"
)

Arguments

network_object

A base network object, either segmented_network or spatiotemporal_network.

accident_data

Either:

• A data.frame containing accident records for multiple years (must include a year column).

• A list of sf data frames, one per year.

dist_threshold

The spatial distance threshold for calculate_local_moran.

time_threshold

The temporal distance threshold for calculate_local_moran.

p_value_threshold

The p-value cutoff for the final consistency test.

time_column

The name of the column in the accident data that contains the time information (e.g., "occurrence_hour"). Defaults to "time".

year_column

The name of the column indicating the year in accident_data (if data.frame). Defaults to "year".

Value

A data frame with the final consistency test results.