Hurley, Catherine B. (2000) Graphical Selection of Data Views. Journal of Computational and Graphical Statistics, 9 (3). pp. 558-581. ISSN 1061-8600
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Abstract
Graphical selection of data views is a fundamental task in interactive statistical graphics. Linked plots provide a form of indirect selection, where direct manipulation of objects displayed in one plot indirectly selects objects in other plots. A pointing device or brush is typically used for direct manipulation, and so this indirect selection is commonly known as linked brushing. Most commonly, linked brushing is applied to two or more scatterplots showing various pairs of variables from a multivariable dataset. This article describes a generalization of linked brushing for the setting where plots display different, though related datasets. With this form of linking, we can graphically explore relationships between datasets. Our linking system is extensible and handles any kind of display of any kind of dataset, as well as arbitrary relationships between those datasets.
Item Type: | Article |
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Keywords: | Brushing; Linking; Lisp; Software design; |
Academic Unit: | Faculty of Science and Engineering > Mathematics and Statistics |
Item ID: | 10150 |
Identification Number: | 10.2307/1390946 |
Depositing User: | Dr. Catherine Hurley |
Date Deposited: | 24 Oct 2018 13:57 |
Journal or Publication Title: | Journal of Computational and Graphical Statistics |
Publisher: | American Statistical Association |
Refereed: | Yes |
URI: | https://mu.eprints-hosting.org/id/eprint/10150 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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