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Challenges and Opportunities in Spatio Temporal Data AnalysisBy Yashika Bhalla, Lalita Chaudhary, Swapnil Jain, Shivani Tufchi, Neeraj Joshi, Prakhar Consul
Abstract: Spatiotemporal data analytics is a dynamic field that seeks to extract valuable information from data that integrates both spatial and temporal dimensions. This article explores the importance of this emerging field and its applications in a variety of fields, including environmental science, public health, and urban planning. Spatiotemporal data analysis addresses important research questions, such as determining event probabilities, understanding change patterns, identifying associations between events, and predicting events Future. …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 2, 2023 · pp. 1–11 Read article →