Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12567)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: SpatialDI 2020.
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Table of contents (21 papers)
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Traffic Management
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Data Science
Other volumes
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Spatial Data and Intelligence
Keywords
- computer vision
- data analysis
- data integration
- databases
- dynamics simulation
- georgraphic location
- human mobility
- image analysis
- image processing
- image segmentation
- machine learning
- network protocols
- sensors
- signal processing
- spatial range query
- spatiotemporal data
- telecommunication networks
- telecommunication systems
- wireless telecommunication systems
About this book
This book constitutes the proceedings of the First International Conference on Spatial Data and Intelligence, SpatialDI 2020, which was held on May 8-9, 2020. The conference was planned to take place in Shenzhen, China, and changed to an online format due to the COVID-19 pandemic.
The 21 full papers presented in this volume were carefully reviewed and selected from 50 submissions. They were organized in topical sections named: traffic management; data science; and visualization science.
Editors and Affiliations
Bibliographic Information
Book Title: Spatial Data and Intelligence
Book Subtitle: First International Conference, SpatialDI 2020, Virtual Event, May 8–9, 2020, Proceedings
Editors: Xiaofeng Meng, Xing Xie, Yang Yue, Zhiming Ding
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-69873-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-69872-0Published: 28 February 2021
eBook ISBN: 978-3-030-69873-7Published: 27 February 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 291
Number of Illustrations: 42 b/w illustrations, 99 illustrations in colour
Topics: Computer Applications, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer Communication Networks, Computer System Implementation, Machine Learning