Motivation and Goals
- Valuable information exists in huge geospatial datasets but is hidden and not integrated in the decision process.
- Often it is only accessed for damage assessment in a “what went wrong?” analysis (e.g., for the 2010 toxic mud spill in Ajka, Hungary, and the 2011 flooding in Genoa, Italy) Objectives.
- Make information from large geospatial datasets available on time, with interactive visual decision support, and at the relevant level of decision making Two test cases of economic and social importance to Europe.
- Marine Spatial Planning (e.g., for wind farms).
- Land Applications for Rapid Response and Territorial Management (e.g., for flooding).
The IQmulus Infrastructure will offer A new methodology for fusion and analysis of geospatial data:
- Independent of data modelling paradigm.
- Not bound to predefined data partitioning.
- Allowing the expression of basic correlation patterns, advanced analysis and knowledge discovery algorithms.
- Managing uncertainty.
A new technical approach to the definition, configuration and deployment of functional spatial processing services with:
- Independence of data size and execution architecture.
- Distributed processing of heterogeneous geospatial data.
- Powerful visualization capabilities by leveraging modern GPU features on graphics machines and web-clients