Given a definition of change and a dataset about spatiotemporal (ST) phenomena, ST change footprint discovery is the process of identifying the location and/or time of such changes from the dataset. As shown in Fig.
1, there are four main components of a change footprint pattern discovery process: ST data from an application is the input of the problem. A definition of a change pattern is given based on the underlying application. Finally, a method (e.g., statistical, computational) that discovers the pattern from the data will produce the ST footprints as output.
Land Cover Change Change Pattern Change Point Detection Change Vector Analysis Interest Measure
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