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Spatiotemporal Data Analytics and Modeling : Techniques and Applications by John A & Satheesh Abimannan & El-Sayed M. El-Alfy & Yue-Shan Chang is a nonfiction available to read on EtoBox.

What is Spatiotemporal Data Analytics and Modeling : Techniques and Applications about?

With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with artificial intelligence and machine learning and internet of things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services. A “spatial data management system” is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and

Who reads Spatiotemporal Data Analytics and Modeling : Techniques and Applications?

Author

John A & Satheesh Abimannan & El-Sayed M. El-Alfy & Yue-Shan Chang

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2024

Language

EN

ISBN

9789819996513

Category

nonfiction

Subjects

Science, Mathematics, Engineering