Study of seamless organization and storage structure for massive spatio-temporal data

Jiong Xie; Renyi Liu; Nan Liu

doi:10.1117/12.651254

2 December 2005 Study of seamless organization and storage structure for massive spatio-temporal data

Jiong Xie, Renyi Liu, Nan Liu

Proceedings Volume 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications; 60451T (2005) https://doi.org/10.1117/12.651254
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

Integrative management of massive spatio-temporal data and the relevant capabilities for time series analysis are important research targets of new generation GIS software architecture. At present, solid developments are imperatively needed in technology for effective organization and storage of massive spatio-temporal data. Oriented to spatio-temporal multi-dimension structure, a massive spatio-temporal data seamless organization and storage model based on spatio-temporal partition (STP), spaito-temporal clustering (STC) is presented, and the test on single table of 2GB to 60 GB shows that integration of STP and STC can improve performance of spaito-temporal search effectively.

Citation Download Citation

Jiong Xie, Renyi Liu, and Nan Liu "Study of seamless organization and storage structure for massive spatio-temporal data", Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 60451T (2 December 2005); https://doi.org/10.1117/12.651254

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