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Spatiotemporal Data Engineering

Spatiotemporal Data Engineering

Venkateswara Rao Komati
Copyright: © 2023 |Pages: 48
ISBN13: 9781668473191|ISBN10: 1668473194|ISBN13 Softcover: 9781668473207|EISBN13: 9781668473214
DOI: 10.4018/978-1-6684-7319-1.ch002
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MLA

Komati, Venkateswara Rao. "Spatiotemporal Data Engineering." Emerging Trends, Techniques, and Applications in Geospatial Data Science, edited by Loveleen Gaur and P.K. Garg, IGI Global, 2023, pp. 15-62. https://doi.org/10.4018/978-1-6684-7319-1.ch002

APA

Komati, V. R. (2023). Spatiotemporal Data Engineering. In L. Gaur & P. Garg (Eds.), Emerging Trends, Techniques, and Applications in Geospatial Data Science (pp. 15-62). IGI Global. https://doi.org/10.4018/978-1-6684-7319-1.ch002

Chicago

Komati, Venkateswara Rao. "Spatiotemporal Data Engineering." In Emerging Trends, Techniques, and Applications in Geospatial Data Science, edited by Loveleen Gaur and P.K. Garg, 15-62. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-7319-1.ch002

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Abstract

Availability of location-based services and mobile computing enabled the collection of spatial and temporal data. Spatiotemporal database integrates spatial and temporal aspects of data. The objective of this chapter is to offer conceptual clarity and state of the art technologies and tools for spatiotemporal data engineering. This chapter discusses spatiotemporal data representation, modeling, and database design, indexing, analysis, and mining for developing the applications. It also covers spatiotemporal big data processing systems.

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