Introduction
- The SPIN!-project was funded by the European Commission Fifth Framework IST programme under contract code:
- The project was funded for 3 years from 2000-01-01 until 2002-12-31.
- The original project web pages were hosted for a time both at the Universtity of Leeds and Fraunhofer Institute for Autonomous Intelligent Systems via the following URLs where the resources are currently unavailable
- http://www.ais.fraunhofer.de/KD/SPIN/
- http://www.ccg.leeds.ac.uk/spin/
- Some of this web content was recovered from an Internet Archive on 2011-01-04 by Andy Turner when this page was created.
- The original project proposal and a project summary in a MS Word document format are available via the following URLs
- The demonstration system is no longer available via http://borneo.gmd.de/KD/SPIN/demonstrator.html
- The final project report is also unavailable due to issues reported therein.
- The project completed on time and to budget. Technical aspects of the project and applications for analysing seismic data, census data and police incident reporting data were developed. An application for city planning was also developed. The project ran into difficulty with regard developing a business model for the commercial exploitation of the technology developed.
- Contents
Overview
- In 2000, the rapidly expanding market for Data Mining and Geographic Information Systems (GIS) technologies was driven by pressure from the public sector, environmental agencies and industry to provide innovative solutions to a wide range of different problems, e.g.
- public health services searching for explanations of disease clusters
- environmental agencies assessing the impact of changing land use patterns on climate change
- geo-marketing companies doing customer segmentation based on spatial location
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For supporting this type of analysis, most contemporary GIS had only very basic spatial analysis functionality.
Many were confined to analysis that involved descriptive statistical displays, such as histograms or pie charts.
Data mining, the partially automated search for hidden patterns in large databases, offered great potential benefits for the applied GIS based decision making that takes place in public and private sector organisations.
SPIN! was an ambitious attempt to bring together some of the best approaches in data mining and interactive thematic mapping.
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The main objective of the SPIN! project was to offer new possibilities for the analysis of georeferenced data.
To this end a Spatial Data Mining system was developed.
It integrated state of the art Geographic Information System and Data Mining functionality in an open, highly extensible, internet-enabled plug-in architecture.
The state of the art in Data Mining was advanced by adapting methods from Machine Learning and Bayesian Statistics for spatial data analysis.
The state of the art in GIS was advanced by developing new methods for the visualization of spatial and temporal information.
The SPIN! spatial mining system was tested and evaluated in applications to seismic and volcano data analysis and to the web-based dissemination of census data.
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The project had a number of project partners that had developed technological components and scientific tools required for the core of such the system.
During the project these individual efforts and the associated expertise and experience was united in a joint European effort.
Missing pieces were developed to build an integrated GIS-Data-Mining-platform.
Industrial partners were charged with developing a business model for web-based information brokering with georeferenced statistical data, and estimating the likely economic impact of the technology.
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SPIN! was funded by the European Commission Fifth Framework IST programme under contract number IST-1999-10536 SPIN!
People and Organisation
Participants
- Fraunhofer Institute for Autonomous Intelligent Systems, Germany
- http://www.iais.fraunhofer.de/
- People
- Gennady Andrienko
- Natalia Andrienko
- Peter Gatalsky
- Willi Kloesgen
- Michael May
- Gerhard Paass
- Alexandr Savinov
- Hans Voss
- Department of Informatics, University of Bari, Italy
- Institute for Information Transmission Problems, Russian Academy of Sciences, Russia
- School of Geography, University of Leeds, England
- Professional GEO Systems BV, Amsterdam, Netherlands
- http://www.pgs.nl/
- People
- GeoForschungsZentrum, Potsdam, Germany
- Manchester Metropolitan University, England
- MIMAS, Manchester, England
Collaborators
- Dumfries and Galloway Police
- Stockport Metropolitan Borough Council
Advisory Board
- Thomas Liehrs, Infratest-Burke, Munchen
- Ivonne Peirrera, European Environment Agency, Copenhagen
- Prof. Marco Painho, Centre for Statistics and Information Systems, University of Lisbon
Peer Reviewers
- Robert Haining University of Cambridge, England (spatial data analysis)
- Ivan Bratko University of Ljubljana, Slovenia (data mining)
- Menno-Jan Kraak International Institute for Aerospace Survey and Earth Sciences, Netherlands (cartography)