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