Multiresolution multidimensional wavelet brushing

Pak Chung Wong, R. Daniel Bergeron · 1996

Brushing is a data visualization technique that identifies and highlights data subsets. We introduce a form of brushing in which the brushed data is usually displayed at a different resolution than the non-brushed data. This paper presents the rationale behind the multiresolution support of multivariate data visualization and describes the construction of multiresolution brushing using wavelet approximations. The idea is implemented in an enhanced version of XmdvTool. Real scientific data is used for demonstration and practical applications are suggested. 1 Introduction Becker and Cleveland [1] introduced the notion of brushing as an interactive data exploration process in which a user visually highlights or deletes subsets of displayed data. This process provides the user an extra dimension of information as well as insight from an otherwise static display. A variety of two-dimensional brushing techniques are described by Cleveland [2]. Ward expanded the direct manipulation concept ...

Read the paper · More papers on PaperTik