Fractals and Multifractals in Ecology and Aquatic Science provides scientists with a basic understanding of fractals and multifractals and the techniques that utilize them in analyzing ecological phenomenon. These techniques are especially valuable for analyzing spatial data sets and physical-biological couplings at different spatial and/or temporal scales. Written in a step-by-step fashion, this volume demystifies the techniques, which are often regarded as too complex, and provides an intuitive as well as a formal perspective for a wide variety of ecological situations and their solutions.
Fractals and Multifractals in Ecology and Aquatic Science provides scientists with a basic understanding of fractals and multifractals and the techniques that utilize them in analyzing ecological phenomenon. These techniques are especially valuable for analyzing spatial data sets and physical-biological couplings at different spatial and/or temporal scales. Written in a step-by-step fashion, this volume demystifies the techniques, which are often regarded as too complex, and provides an intuitive as well as a formal perspective for a wide variety of ecological situations and their solutions.
Laurent Seuront is a Professor in Biological Oceanography at the Flinders University (Adelaide, Australia) and a Senior Research Scientist at the South Australian Research and Development Institute (West Beach, Australia). Prior to his present position, he was a research fellow of the Japanese Society for the Promotion of Science at the Tokyo University of Fisheries (1999-2000) and a research scientist at the Centre National de la Recherche Scientifique (CNRS) in France (2001-2008). Among multiple awards, he recently received the CNRS Bronze Medal in France (2007) in recognition of his early career achievements, and a prestigious Australian Professorial Fellowship from the Australian Research Council.
Inhaltsangabe
About Geometries and Dimensions. Self Similar Fractals. Self Affine Fractals. Frequency Distribution Dimensions. Fractal Related Concepts: Some Clarifications. Estimating Dimensions with Confidence. From Fractals to Multifractals.
About Geometries and Dimensions. Self Similar Fractals. Self Affine Fractals. Frequency Distribution Dimensions. Fractal Related Concepts: Some Clarifications. Estimating Dimensions with Confidence. From Fractals to Multifractals.
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