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Data integration refers to the process of combining data from multiple sources to provide a unified view that can support analysis, decision-making, and modeling. In the context of spatial analysis and modeling, data integration involves merging spatial and non-spatial datasets from different platforms or technologies to create a comprehensive dataset that accurately represents geographic phenomena. The main objective of data integration is to overcome discrepancies in data formats, scales, temporal coverage, and spatial resolutions, enabling researchers and planners to conduct holistic analyses and generate more reliable insights. Integrated data allows for improved accuracy, consistency, and completeness in spatial modeling, which is essential for applications such as urban planning, environmental monitoring, disaster management, and resource management. Remote sensing plays a pivotal role in the integration __________ ___ _________ ________ __________ _______ _______ ___.
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