Search for dissertations about: "quantitative landscape analysis"
Showing result 1 - 5 of 31 swedish dissertations containing the words quantitative landscape analysis.
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1. Sensitivity, Variation, and Application of Least-Cost Path Models in Landscape Connectivity Analysis and Corridor Planning
Abstract : In recent decades, Rwanda has been affected by the loss and fragmentation of natural habitats for native species of animals and plants. As a consequence, landscape connectivity—i.e. READ MORE
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2. Fragmented landscapes : Assessment and communication of landscape connectivity in human-dominated landscapes
Abstract : This licentiate thesis summarizes the first half of my PhD on the theme of management of fragmented landscapes. The thesis applies – and reflects on the use of – network analysis of connectivity in relation to landscape planning. READ MORE
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3. An e-Science Approach to Genetic Analysis of Quantitative Traits
Abstract : Many important traits in plants, animals and humans are quantitative, and most such traits are generally believed to be affected by multiple genetic loci. Standard computational tools for mapping of quantitative traits (i.e. READ MORE
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4. Artificial neural networks : applications in morphometric and landscape features analysis
Abstract : In this thesis a semi-automatic method is developed to analyze morphometric features and landscape elements based on Self Organizing Map (SOM) as a unsupervised Artificial Neural Network algorithm. Analysis and parameterization of topography into simple and homogenous land elements (landform) can play an important role as basic information in planning processes and environmental modeling. READ MORE
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5. Design and Analysis of Self-protection : Adaptive Security for Software Systems
Abstract : Today's software landscape features a high degree of complexity, frequent changes in requirements and stakeholder goals, and uncertainty.Uncertainty and high complexity imply a threat landscape where cybersecurity attacks are a common occurrence while their consequences are often severe. READ MORE