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International Journal of Computer Science & Engineering Survey
Spatiotemporal data usually contain the states of an object, an event or a position in space over a period of time. Vast amount of spatiotemporal data can be found in several application fields such as traffic management, environment monitoring, and weather forecast. These datasets might be collected at different locations at various points of time in different formats. It poses many challenges in representing, processing, analysis and mining of such datasets due to complex structure ofdoi:10.5121/ijcses.2012.3104 fatcat:smom5x2ybbgilavylsg7dju3pu