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Integrating GVis, GIS and KDD for Exploring Spatio-Temporal Data Integrating GVis, GIS and KDD for Exploring Spatio-Temporal Data Monica Wachowicz Wageningen.

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Presentation on theme: "Integrating GVis, GIS and KDD for Exploring Spatio-Temporal Data Integrating GVis, GIS and KDD for Exploring Spatio-Temporal Data Monica Wachowicz Wageningen."— Presentation transcript:

1 Integrating GVis, GIS and KDD for Exploring Spatio-Temporal Data Integrating GVis, GIS and KDD for Exploring Spatio-Temporal Data Monica Wachowicz Wageningen UR Geo-Information Centre

2 Geographic Visualisation Geographic Information Systems Geographic Information Systems Knowledge Discovery in Databases Knowledge Discovery in Databases Need for the integration Need for the integration How to achieve it How to achieve it PELCOM Project PELCOM Project GISc. of Tomorrow

3 Geographic Visualisation Human Visual Thinking Graphical Data Manipulation Graphical Data Manipulation Human Computer Interaction Human Computer Interaction Art or Science? Art or Science?

4 that involves humans achieving insight by interacting with data through the use of visual representations and operations that can be applied to this data. GVis as a process

5 GIS Domain Specific Models Query Languages for data and metadata manipulationQuery Languages for data and metadata manipulation Data Interoperability Data Interoperability

6 GIS Data Collection Data ModellingData Modelling Data Manipulation/Transformation Data Manipulation/Transformation Data Output/Presentation Data Output/Presentation

7 80% of all GIS commands are connected with data capturing, transformation, and cleaning operations. Albrecht 1996

8 Taxonomy of GIS Operations

9 that users can interactively direct database operations and mediate database navigation to uncover interesting patterns GIS as a process

10 Knowledge Discovery in Databases Data Mining How can we explore millions of records, hundreds of fields, and find patterns?

11 KDD Methods Classification Clustering Clustering Summarisation Summarisation Predictive Modelling Predictive Modelling Change and Deviation Detection Change and Deviation Detection

12 Enable data exploration, analysis, and visualisation to be conducted at a much higher level of interaction between GI users and databases. Put effective “knowledge construction” tools in the hands of GI users GIS + Gvis + KDD

13 GVis Exploration driven by visual thinking GIS Exploration driven by operations KDD Exploration driven by automated information processing

14 Integration of GVis, GIS, and KDD will uphold the design of the next generation of systems

15 How to achieve it Conceptual Level Operational Level Implementation Level

16 Conceptual Level What kind of spatio-temporal data is meant to be exploredWhat kind of spatio-temporal data is meant to be explored What particular kinds of outcomes are required from the processWhat particular kinds of outcomes are required from the process Who are the users Who are the users

17 Operational Level Methods - Task - Operation How the exploration can be performedHow the exploration can be performed How to accomplish the task How to accomplish the task What is to be accomplished What is to be accomplished

18 Implementation Level Drag and drop operations to create queries from displaysDrag and drop operations to create queries from displays Visual query languagesVisual query languages Navigation Navigation

19 PELCOM Project 1km Pan European Land Cover Database Land Cover Database Integration through Exploration Integration through Exploration GI users interaction GI users interaction GI Knowledge Construction GI Knowledge Construction


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