DocumentCode :
2512998
Title :
Enabling access to timeseries, geospatial data for on-demand visualization
Author :
Pallickara, Sangmi Lee ; Malensek, Matthew ; Pallickara, Shrideep
Author_Institution :
Dept. of Comput. Sci., Colorado State Univ., Fort Collins, CO, USA
fYear :
2011
fDate :
23-24 Oct. 2011
Firstpage :
141
Lastpage :
142
Abstract :
Data volumes in the geosciences have been increasing substantially over the past decade. This data naturally includes both spatial and chronological information. Fast access to specific portions of large collections of such datasets is a precursor to efficiently visualizing them. Here, we provide an overview of how a geospatial storage system, GALILEO, provides storage of such timeseries data while providing access to specific portions of the dataset.
Keywords :
data visualisation; geographic information systems; time series; geospatial data; geospatial storage system; on demand visualization; time series data; Arrays; Data visualization; Distributed databases; Geology; Geospatial analysis; Humidity; Geoscience; distributed geospatial storage; time-series data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Large Data Analysis and Visualization (LDAV), 2011 IEEE Symposium on
Conference_Location :
Providence, Rl
Print_ISBN :
978-1-4673-0156-5
Type :
conf
DOI :
10.1109/LDAV.2011.6092339
Filename :
6092339
Link To Document :
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