Environmental Modelling & Software
Environmental Modelling & Software
Accumulating partial order ranking
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Service-oriented applications for environmental models: Reusable geospatial services
Environmental Modelling & Software
Designing environmental software applications based upon an open sensor service architecture
Environmental Modelling & Software
Managing user-generated information in geospatial cyberinfrastructures
Future Generation Computer Systems
Prototyping an online wetland ecosystem services model using open model sharing standards
Environmental Modelling & Software
An environmental decision support system for spatial assessment and selective remediation
Environmental Modelling & Software
KOIOS: utilizing semantic search for easy-access and visualization of structured environmental data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
A service oriented architecture for decision support systems in environmental crisis management
Future Generation Computer Systems
Environmental Modelling & Software
A virtual sensor system for user-generated, real-time environmental data products
Environmental Modelling & Software
A web-based fuzzy expert system for frost warnings in horticultural crops
Environmental Modelling & Software
Handling heterogeneous bipolar information for modelling environmental syndromes of global change
Environmental Modelling & Software
Spatial model steering, an exploratory approach to uncertainty awareness in land use allocation
Environmental Modelling & Software
Environmental Modelling & Software
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Environmental Information Systems (EIS) and Environmental Decision Support Systems (EDSS) are major building blocks in environmental management and science today. They are used at all levels of public bodies (community, state, national and international level), in science, in management and as information platforms towards the public. EIS and EDSS are usually said to have certain characteristics, which distinguish them from standard information systems, e.g. information complexity in time and space or uncompleteness or fuzzyness of data items. By the very nature of the complex tasks involved, different methodologies can be an option while developing new system, for instance modelling, decision theoretic approaches, artificial intelligence, geographical analysis, statistics and many more. As software developers, we face the situation where we have to recompose these different methodologies in different application scenarios over and over again. This paper discusses the question, how different EIS and EDSS tools can be integrated in a generic way. For this purpose, we discuss a number of integration strategies and give two examples of current EU-funded projects.