Print Email Facebook Twitter Visualization of Variation and Variability Title Visualization of Variation and Variability Author Busking, S. Contributor Jansen, F.W. (promotor) Botha, C.P. (promotor) Faculty Electrical Engineering, Mathematics and Computer Science Department Computer Graphics and Visualization Date 2014-12-12 Abstract As datasets grow in size and complexity, the importance of comparison as a tool for analysis is growing. We define comparison as the act of analyzing variation or variability based on two or more specific instances of the data. This thesis explores a number of cases spread across the range of comparisons, from variability within one entity through variability between two or more entities to variability within a population. For each of these we present an exploration tool, combining interaction with high-performance visualization rendering techniques, with the aim of providing more insight into a given dataset. We explore how different aspects of an application designed for interactive visual analysis can aid the user. This concerns both their initial exploration of a new dataset, as well as their ability to drill down into their discoveries and investigate the underlying details. For instance, multiple linked views can be used to combine highly abstract general-purpose views with highly problem-domain specific views in order to allow a user to translate abstract discoveries into the specific concepts used in their profession. Interactive composition can be applied to quickly focus on areas of interest, suppressing details which may not be relevant at the moment. Subject visualizationcomparative visualizationinteractive visual analysismulti-fieldsshape modelsinteractive exploration To reference this document use: https://doi.org/10.4233/uuid:96610558-5d81-4a0a-b9dc-5e59b8214b29 ISBN 9789461864048 Part of collection Institutional Repository Document type doctoral thesis Rights (c) 2014 Busking, S. Files PDF Thesis-Busking-digital-version.pdf 56.33 MB Close viewer /islandora/object/uuid:96610558-5d81-4a0a-b9dc-5e59b8214b29/datastream/OBJ/view