Modeling, Analysis, and Visualization of Anisotropy, (PDF) emphasizes the modeling, processing and visualization of anisotropy, regardless of the context in which it emerges, using state-of-the-art mathematical tools. As such, it varies substantially from conventional reference works, which are centered on a particular application. It includes the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research inputs, it offers insightful reviews.
This multidisciplinary ebook is the sixth in a series that aims to promote scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A substantial number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to Multivalued Data: Modeling, Visualization, Analysis, which was held in Dagstuhl, Germany in April 2016.
It provides a valuable resource for those working in the field of multi-directional data, essential inspirations for the development of new models, and crucial analysis and visualization techniques, thus furthering the state-of-the-art in studies relating anisotropy.
NOTE: The product only includes the ebook, Modeling, Analysis, and Visualization of Anisotropy in PDF. No access codes are included.