Event Coincidence Analysis (dominosee.eca)¶

This module provides functions for performing Event Coincidence Analysis (ECA) on time series data, particularly useful for studying the temporal relationships between different types of events.

Event Coincidence Analysis¶

`get_eca_precursor`(eventA_precursor_window, ...)
`get_eca_trigger`(eventA_trigger_window, eventB)
`get_eca_precursor_from_events`(eventA, eventB)	Calculate precursor events from eventA (events in location A) to eventB (events in location B) based on event coincidence analysis.
`get_eca_trigger_from_events`(eventA, eventB)	Calculate trigger events from eventA (events in location A) to eventB (events in location B) based on event coincidence analysis.

Window Functions¶

`get_eca_precursor_window`(da[, delt, sym, tau])
`get_eca_trigger_window`(da[, delt, sym, tau])

Confidence Calculation¶

`get_eca_precursor_confidence`(precursor, ...)
`get_eca_trigger_confidence`(trigger, eventA, ...)
`get_prec_confidence`(da_prec, da_layerA, ...)
`get_trig_confidence`(da_trig, da_layerA, ...)

Example Usage¶

An example of using ECA to study the temporal relationships between climate events can be found in the ECA Network Example.