HadoopTrajectory: a Hadoop spatiotemporal data processing extension

The recent advances in location tracking technologies and the widespread use of location-aware applications have resulted in big datasets of moving object trajectories. While there exists a couple of research prototypes for moving object databases, there is a lack of systems that can process big spa...

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Veröffentlicht in:	Journal of geographical systems Jg. 21; H. 2; S. 211 - 235
Hauptverfasser:	Bakli, Mohamed, Sakr, Mahmoud, Soliman, Taysir Hassan A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2019 Springer Springer Nature B.V
Schlagworte:	Analytics Computer Appl. in Social and Behavioral Sciences Data processing Distributed processing Econometrics Economics Economics and Finance Electronic data processing Geographical Information Systems/Cartography Landscape/Regional and Urban Planning Measuring instruments Moving object recognition Nodes Operators Original Article Regional/Spatial Science Spatiotemporal data Tracking Trajectories Urban Economics R53 R4 C6 O3 C8 Hadoop Trajectory data management Big data Spatiotemporal 3DR-tree L86
ISSN:	1435-5930, 1435-5949
Online-Zugang:	Volltext
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