Search for dissertations about: "Spatially explicit modeling"
Showing result 1 - 5 of 9 swedish dissertations containing the words Spatially explicit modeling.
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1. PDEModelica – A High-Level Language for Modeling with Partial Differential Equations
Abstract : This thesis describes work on a new high-level mathematical modeling language and framework called PDEModelica for modeling with partial differential equations. It is an extension to the current Modelica modeling language for object-oriented, equation-based modeling based on differential and algebraic equations. READ MORE
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2. Modeling Collective Decision-Making in Animal Groups
Abstract : Many animal groups benefit from making decisions collectively. For example, colonies of many ant species are able to select the best possible nest to move into without every ant needing to visit each available nest site. READ MORE
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3. Spatial Spread of Organisms : Modeling ecological and epidemiological processes
Abstract : This thesis focuses on the spread of organisms in both ecological and epidemiological contexts. In most of the studies presented, displacement is modeled with a spatial kernel function, which is characterized by scale and shape. These are measured by the net squared displacement (or kernel variance) and kurtosis, respectively. READ MORE
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4. Enhancing Direct Searches for Dark Matter : Spatial-Temporal Modeling and Explicit Likelihoods
Abstract : Astronomical and cosmological observations on different scales point to the existence of dark matter. In the current cosmological paradigm this dark matter accounts for about 26% of the energy-density of the universe, yet has not been directly observed. READ MORE
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5. Computationally efficient methods in spatial statistics : Applications in environmental modeling
Abstract : In this thesis, computationally efficient statistical models for large spatial environmental data sets are constructed. In the first part of the thesis, a method for estimating spatially dependent temporal trends is developed. A space-varying regression model, where the regression coefficients for the spatial locations are dependent, is used. READ MORE