``Seeing'' Objects in Spatial Datasets

Authors:
Xingang Huang;Feng Zhao
Affiliations:
-;-
Venue:
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Year:
1999

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Abstract

Regularities exist in datasets describing spatially distributed physical phenomena. Human experts often understand and verbalize the regularities as abstract spatial objects evolving coherently and interacting with each other in the domain space. We describe a novel computational approach for identifying and extracting these abstract spatial objects through the construction of a hierarchy of spatial relations. We demonstrate the approach with an application to finding troughs in weather data sets.