Analytical Visualization Framework - a visual data processing and knowledge discovery system

1. Analytical Visualization Framework - a visual data processing and knowledge discovery system Ivan Denisovich, Serge Shumilov Department of Computer Science III, University of Bonn S. Shumilov – Zürich

2. GLOWA Volta Project Integration of applications and services data transformation heterogeneous data various data sources Effective visual data exploration interactivity tracing of decisions specialized visualization methods Customized exploration interfaces different interfaces for different user groups easy programming and adaptation Solutions for analytical visualization GIS, statistical and spreadsheet software Programming libraries for visualization Visualization components frameworks Workflow composition systems Motivation GeoViz Workshop, March 3-5 2009,Hamburg, Germany 2

3. Analytical Visualization Framework • Visual programming facilities • data transformations • visual interfaces • visualization components • Customized interactive data analysis tools and components • Data exploration GeoViz Workshop, March 3-5 2009,Hamburg, Germany 3

4. Demonstration GeoViz Workshop, March 3-5 2009,Hamburg, Germany 4

5. Application: M³ WATER model AVF is used for: • Access to distributed models • Data collection and aggregation • Customized presentation interface geographic datahistoric and modeled climatic data Hydrological model (MIKE Basin) transformation water supply Visualization and Analysis (AVF) water demand transformation Economical model (GAMS) demographic and economic indexes water use policies GeoViz Workshop, March 3-5 2009,Hamburg, Germany 6

6. Engine connection of modules notification about changes caching of intermediate results persistency of designs base classes + API Visual programming workspace graph editor interactive manipulation monitoring and data exploration Library of modules generic computation data access spatial operations Architecture AVF Module Library JTS Standard Visual programming workspace GeoTools Groups GRIA User-defined API XML XML AVF Engine Java Virtual Machine GeoViz Workshop, March 3-5 2009,Hamburg, Germany 7

7. Interactive data manipulation changes immediately reflected Explicit transformation chains tracing of actions multiple paths Modular architecture input and output connectors Computation on demand change  notification demand  computation Key features 1. Change 2. Notification Module A Module B … … … … 4. Computation 3. Request Result GeoViz Workshop, March 3-5 2009,Hamburg, Germany 8

8. Generic reusable modules to build complex transformations Visual programming of data transformations and interfaces Full history of applied transformations. Changes in parameters of intermediate steps result in direct recomputation High code portability ensured by Java Designs can grow large and tangled Predefined programming paradigm (execution, communication, interfaces) Inappropriate if several parameters should be changed for a new result Third-party non-Java visual libraries are hard to integrate into the framework Benefits and Drawbacks GeoViz Workshop, March 3-5 2009,Hamburg, Germany 9

9. Thank you for your attention! Questions? divan@iai.uni-bonn.de www.glowa-volta.de GeoViz Workshop, March 3-5 2009,Hamburg, Germany 10