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.
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References in zbMATH (referenced in 2 articles , 1 standard article )
Showing results 1 to 2 of 2.
- Shoemaker, Larry; Banfield, Robert E.; Hall, Lawrence O.; Bowyer, Kevin W.; Kegelmeyer, W. Philip: Detecting and ordering salient regions (2011)
- Koegler, Wendy S.; Kegelmeyer, W. Philip: FCLib: a library for building data analysis and data discovery tools (2005)