EasyXplorer: A Flexible Visual Exploration Approach for Multivariate Spatial Data
No Thumbnail Available
Date
2015
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
Exploring multivariate spatial data attracts much attention in the visualization community. The main challenge lies in that automatic analysis techniques is insufficient in discovering complicated patterns with the perspective of human beings, while visualization techniques are incapable of accurately identifying the features of interest. This paper addresses this contradiction by enhancing automatic analysis techniques with human intelligence in an iterative visual exploration process. The integrated system, called EasyXplorer, provides a suite of intuitive clustering, dimension reduction, visual encoding and filtering widgets within 2D and 3D views, allowing an inexperienced user to visually explore and reason undiscovered features with several simple interactions. Case studies show the quality and scalability of our approach in quite challenging examples.
Description
@article{10.1111:cgf.12755,
journal = {Computer Graphics Forum},
title = {{EasyXplorer: A Flexible Visual Exploration Approach for Multivariate Spatial Data}},
author = {Wu, Feiran and Chen, Guoning and Huang, Jin and Tao, Yubo and Chen, Wei},
year = {2015},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
DOI = {10.1111/cgf.12755}
}