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Proposal Summary
Abstract (max. 1000 characters incl. blanks)
The main objective of the SPIN! project is to support statistical offices in their timely and cost effective
dissemination of statistical data and to offer exciting new possibilities for the scientific analysis of georeferenced
data. To this end a Spatial Data Mining System, SPIN, is developed. It integrates state of the art Geographic
Information Systems (GIS) and Data Mining Systems (DMS) functionality in an open, highly extensible,
internet-enabled plug-in architecture. By adapting methods from Machine Learning and Bayesian Statistics to
spatial data analysis the state of the art in Data Mining will be advanced. The state of the art in GIS will also be
advanced by developing new methods for the visualisation of spatial and temporal information. SPIN will be
tested and evaluated by applications to seismic and volcano data analysis and to the web-based dissemination of
census data.
Objectives (max. 1000 characters incl. blanks)
 To develop a generic system architecture that integrate state of the art GIS and DMS functionality in an
open, extensible, internet-enabled plug-in architecture.
 To adapt Machine learning methods, especially first-order learning methods to spatial data mining.
 To adapt Bayesian Markov Chain Monte Carlo to spatial data mining.
 To adapt and integrate methods for spatial pattern analysis using techniques from exploratory spatial data
analysis, statistics and artificial intelligence.
 To develop new methods for the visualisation of temporal and spatial data.
 To develop new methods for visualising data mining results in GIS.
 To apply SPIN to web-based dissemination of census data and the analysis of seismic and volcano data.
 To develop an innovative business model for web-based information and service brokering with
georeferenced data.
Description of Work (max. 2000 characters incl. blanks)
DMS and GIS are complementary tools for describing, transforming, analysing and modelling data about real
world systems. The rapidly expanding market for these technologies is driven by pressure from the public
sector, environmental agencies and industry to provide innovative solutions to a wide range of different
problems. Most contemporary GIS have only very basic spatial analysis and data mining functionality and many
are confined to analysis that involves comparing maps and descriptive statistical displays like histograms or pie
charts. Data mining techniques offer great potential benefits for applied GIS based decision making that takes
place in public and private sector organisations. An integrated, user friendly SDMS available on the internet
offers exciting new possibilities for spatial decision making and geographical research to a wide range of
potential users.
The overall objective of this proposal is to develop a web-based SDMS by integrating state of the art GIS and
DMS functionality in a closely coupled open and extensible system architecture. In recent years, a number of
project partners have developed the technological components and scientific tools required at the kernel of such
a system. During SPIN! these individual efforts and the associated expertise and experience will be united in a
joint European effort. In it we will develop the missing pieces and build a truly integrated, internet enabled GISDMS platform, SPIN, a comprehensive, coherent, Spatial Data Mining System (SDMS) for data of public
interest. Partners from statistical offices and seismic research centres will use the system in applied research and
provide feedback to direct the development efforts. These applied uses of the technology will demonstrate the
generic utility and benefits of this type of system over contemporary technology. Industrial partners will develop
a business model for web-based information brokering with georeferenced statistical data, and estimate the likely
economic impact of the technology. The benefits of such a generic spatial data analysis system are wide ranging
offering advantages to statistical analysts, environmental decision makers, seismic data experts, biodiversity
researchers and the like.
Milestones and expected results (max. 500 characters incl. blanks)
The main result of the project will be a SDMS offering an unprecedented variety of visualisation and spatial
analysis tools. The adaption of Data Mining methods to spatial analysis will open up new research and
application domains and new visualization methods will advance the state of the art in GIS.
Milestones:
M1
Developer’s version of a SDMS (month 12)
M2
First prototype (month 18)
M3
Second prototype (month 30)
M4
Dissemination workshop targeting additional user groups (36)