Using Multiple Coordinated Views to Analyze Geo-referenced High-dimensional Datasets
In International Conference on Coordinated & Multiple Views in Exploratory Visualization, London UK.
We developed an interactive visualization system that supports analysis and exploration of a large number of indicators that characterize the attractivity of cities in Switzerland. The application is available as a companion to a paper‐based publication. This system is embedded in a conceptual framework of best practices in information visualization that we developed over the course of various past projects. It consists of several coordinated views that are tightly integrated, and that successfully reveal the data in its complexity. We present the components of this system, describe design decisions on how to integrate them into an application, and provide details on innovative refinements of various standard information visualization techniques.
Brodbeck, Dominique, and Luc Girardin. 2003. “Using Multiple Coordinated Views to Analyze Geo-Referenced High-Dimensional Datasets.” In International Conference on Coordinated & Multiple Views in Exploratory Visualization, London UK.
@inproceedings{using-multiple-coordinated-views-to-analyze-geo-referenced-high-dimensional-datasets,
author = {Dominique Brodbeck and Luc Girardin},
title = {Using Multiple Coordinated Views to Analyze Geo-referenced High-dimensional Datasets},
booktitle = { International Conference on Coordinated & Multiple Views in Exploratory Visualization},
year = {2003},
location = {London UK},
abstract = {We developed an interactive visualization system that supports analysis and exploration of a large number of indicators that characterize the attractivity of cities in Switzerland. The application is available as a companion to a paper-based publication. This system is embedded in a conceptual framework of best practices in information visualization that we developed over the course of various past projects. It consists of several coordinated views that are tightly integrated, and that successfully reveal the data in its complexity. We present the components of this system, describe design decisions on how to integrate them into an application, and provide details on innovative refinements of various standard information visualization techniques.},
url = {https://www.macrofocus.com/public/publications/cmv2003/},
pdf = {https://download.macrofocus.com/publications/cmv2003.pdf},
}