Objective
The goal of the project is to develop innovative methods for the statistical analysis of spatial variability based on Spartan Spatial Random fields (SSRFs). The SSRFs are inspired from statistical physics, where the distribution of fluctuations follows from the energy functional (the Hamiltonian), rather than a data-driven covariance matrix. The term Spartan denotes frugal need of free parameters, which have a clear physical interpretation. The project aims to develop flexible, accurate, reliable and computationally fast statistical models of spatial variability that can be used for the analysis, prediction and mapping of various environmental processes. The SSRF models can incorporate information from physical laws (if available).
They also permit a systematic approach for determining the parameters of spatial dependence, which avoids ad hoc assumptions used in classical geostatistics (variogram calculations). The project also aims to begin development of ¿automatic mapping functions¿ based on SSRFs for t he visualization and use of spatial information in decision-making. This action responds to the demand for efficient tools that reduce the complexity of modelling decisions made by the user, which is necessary for promoting widespread use of spatial analysis. The SSRFs are expected to find multidisciplinary applications, in fields such as environmental science and engineering, GIS, oil reservoir engineering, remote sensing and environmental health science.
The project will lead to improved capabilities for t he simulation of spatially distributed systems, which will complement and support other research activities in the Department of Mineral Resources Engineering at the Technical University of Crete (e.g. environmental studies, analysis of GPS signals, desertification effects on Crete, analysis of geophysical signals and stochastic patterns in multidimensional spaces).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- medical and health scienceshealth sciencespublic health
- natural sciencesearth and related environmental sciencesphysical geographycartographygeographic information systems
- natural sciencesmathematicsapplied mathematicsstatistics and probabilitybayesian statistics
- natural sciencesearth and related environmental sciencesenvironmental sciences
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Call for proposal
FP6-2002-MOBILITY-3
See other projects for this call
Funding Scheme
TOK - Marie Curie actions-Transfer of KnowledgeCoordinator
CHANIA
Greece