The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Using classifier ensembles to label spatially disjoint data
Information Fusion
Detecting and ordering salient regions
Data Mining and Knowledge Discovery
ACM Transactions on Embedded Computing Systems (TECS)
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In this paper we describe a data analysis toolkit constructed to meet the needs of data discovery in large scale spatio-temporal data. The toolkit is a C library of building blocks that can be assembled into data analyses. Our goals were to build a toolkit which is easy to use, is applicable to a wide variety of science domains, supports feature-based analysis, and minimizes low-level processing. The discussion centers on the design of a data model and interface that best supports these goals and we present three usage examples.