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
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;
Conference_Titel :
Large Data Analysis and Visualization (LDAV), 2011 IEEE Symposium on
Conference_Location :
Providence, Rl
Print_ISBN :
978-1-4673-0156-5
DOI :
10.1109/LDAV.2011.6092339