Steerable Clustering for Visual Analysis of Ecosystems (English)

in International Workshop on Visual Analytics ; 49-52
International Workshop on Visual Analytics
The Eurographics Association , Postfach 8043, 38621 Goslar, Germany; 2011

One of the great challenges in the geosciences is understanding ecological systems in order to predict changes and responses in space and time at scales from local to global. Ecologists are starting to recognize the value of analysis methods that go beyond statistics to include data mining, visual representations, and combinations of these in computational tools. However, the tools in use today rarely provide means to perform the kinds of rich multidimensional interaction that hold promise to greatly expand possibilities for effective visual exploration and analysis. As part of a project to develop a cyberCommons for collaborative ecological forecasting, we are developing ways to integrate highly interactive visual analysis techniques with data mining algorithms. We describe here our work in progress on steering mixed-dimensional KD-KMeans clustering using multiple coordinated views. Contributions include more flexible interactive control over clustering inputs and outputs, greater consistency of cluster membership during interaction, and higher performance by caching cluster results as a function of interactive state. We present our current tool that implements these improvements for visual analysis of Terrestrial ECOsystem (TECO) data collected from FLUXNET towers, with feedback on utility from our ecologist collaborators.

How to get this document?
Commercial Copyright fee: €14.50 Basic fee: €4.00 Total price: €18.50
Academic Copyright fee: €4.50 Basic fee: €2.00 Total price: €6.50

Document information

Table of contents conference proceedings

The table of contents of the conference proceedings is generated automatically, so it can be incomplete, although all articles are available in the TIB.

Characterizing Visual Analytics in Diagnostic Imaging
Lundström, C. / Persson, A. | 2011
Data Driven Color Mapping
Eisemann, Martin / Albuquerque, Georgia / Magnor, Marcus | 2011
Towards a Concept how the Structure of Time can Support the Visual Analytics Process
Lammarsch, T. / Aigner, W. / Bertone, A. / Miksch, S. / Rind, A. | 2011
SmartStripes - Looking under the Hood of Feature Subset Selection Methods
May, T. / Davey, J. / Ruppert, T. | 2011
Understanding the Role and Value of Interaction: First Steps
Aigner, W. | 2011
Visual Comparison of Ranked Result Cumulated Gains
Ferro, N. / Sabetta, A. / Santucci, G. / Tino, G. / Veltri, F. | 2011
Visual Analysis of User Behaviour in Pay-Per-Bid Auctions
Walker, Rick / Cenydd, Llyr ap / Pop, Serban / Roberts, Jonathan C. | 2011
Visual Analysis of Advanced Manufacturing Simulations
Wörner, M. / Ertl, T. | 2011
A Framework for the Multi-Temporal Analysis of Land Cover Change using Visual Analytics
Kinkeldey, C. / Schiewe, J. | 2011
Exploring Complex Mobile Life through Lightweight Visualizations
Kim, Tanyoung / Blom, Jan / Stasko, John | 2011
Interactive Analysis of Object Group Changes over Time
Bremm, S. / Landesberger, T. von / Andrienko, G. / Andrienko, N. / Schreck, T. | 2011
Adaptive Interactive Multi-Resolution Computational Steering for Complex Engineering Systems
Matkovic, K. / Gracanin, D. / Jelovic, M. / Cao, Y. | 2011
Steerable Clustering for Visual Analysis of Ecosystems
Ahmed, Zafar / Yost, Patrick / McGovern, Amy / Weaver, Chris | 2011
Contingency Wheel: Visual Analysis of Large Contingency Tables
Alsallakh, Bilal / Gröller, Eduard / Miksch, Silvia / Suntinger, Martin | 2011

Similar titles