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Abstract: Spatiotemporal knowledge synthesis in an interdisciplinary context is based on the intefration of core scientific knowledge, case-specific information, multi-sourced uncertainty and "agent-system" associations. Following a critical discussion of current views, certain possibilities are considered. A fusion of ideas from brain and neuropsychological sciences can lead to novel concepts and tools of spatiotemporal analysis and mapping that synthesize technical "proof " (symbolic and numerical data processing) with every-day "truth" (contextual meaning and space-time interpretation) in the living experience sense. Accordingly, in real-world applications spatiotemporal modelling is conceived as a network of data bases, theories, beliefs, purposes and thinking modes in which any string in the net pulls and is pulled by the others in an interconnected way that can change the configuration of the whole. Applications include the integration of knowledge bases in fields such as human exposure, health effects, environmental assessment, risk analysis, space-time epidemiology and medical history.
Keywords: Knowledge synthesis, spatiotemporal analysis, uncertainty.
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