Spatio-temporal coherence

Spatio-temporal coherence refers to the consistent and related patterns of data across both space and time. For example, in weather observations, nearby locations often experience similar conditions, and those conditions tend to change gradually over time. This principle helps in understanding and predicting phenomena by recognizing that things close together in place and time are more likely to be similar than those farther apart. It is used in fields like image processing, video analysis, and environmental monitoring to improve accuracy by leveraging these natural correlations.