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Time series analysis refers to the systematic study of data collected at successive points in time to identify patterns, trends, cycles, and variations. In geoinformatics research, it plays a crucial role in understanding temporal dynamics of spatial phenomena such as land use change, climate variability, vegetation growth, urban expansion, and hydrological processes. The data used in time series analysis may _____ ________ ______ __________ _______.
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