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of ecology, i.e., computational ecology, is proposed and its scopes and objectives are defined and discussed.Computational Ecology consists of two;
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provide an introduction to broad fields such as Applied Ecology, Behavioral Ecology, Computational Ecology, Ecosystem Ecology, Epidemiology and;
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Graphs, networks and agent-based modeling are the most thriving and attracting sciences used in ecology and environmental sciences. As such;
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, ecology, environmental changes, and genomics are now being analyzed using mathematical and computational methods. A Course in Mathematical Biology;
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Scientists need statistics. Increasingly this is accomplished using computational approaches. Freeing readers from the constraints;
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Despite claims to the contrary, the science of ecology has a long history of building theories. Many ecological theories are mathematical;
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Despite claims to the contrary, the science of ecology has a long history of building theories. Many ecological theories are mathematical;
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of computational mathematics are focused on the manual performance or by means of a calculator. In this book, descriptions of algorithms, their solutions;
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of computational mathematics are focused on the manual performance or by means of a calculator. In this book, descriptions of algorithms, their solutions;
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, health science, ecology, social science, applied mathematics and computational science.;
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This book constitutes the refereed proceedings of the 19th International Conference on Computational Methods in Systems Biology, CMSB 2021;
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through the lens of computational and systems biology. It uses in-depth examples from genomics, phylogenetics, RNA, protein folding, network;
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Advanced Ecological Theory is intended for both postgraduate students and professional researchers in ecology. It provides an overview;
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, Analytical Methods for Ecologists, Statistical Inference for Applied Research, Elements of Statistical Methods, Computational Ecology, Landscape;
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Individual-based models are an exciting and widely used new tool for ecology. These computational models allow scientists to explore the;
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brings together researchers from ethology, psychology, ecology, artificial intelligence, artificial life, robotics, computer science, engineering;
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, Analytical Methods for Ecologists, Statistical Inference for Applied Research, Elements of Statistical Methods, Computational Ecology, Landscape;
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Complex diseases involve most aspects of population biology, including genetics, demographics, epidemiology, and ecology. Mathematical;
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/>Contributors to this volume include computational scientists, chemists, medical researchers, biologists and philosophers, all drawing on personal;
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Vegetation Ecology is a comprehensive account of plant communities and their environments. Written by leading experts in their field from;
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Plant ecology is a sub-discipline of ecology which studies the distribution and interaction between plants and organisms. Plant ecology can;
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, ecology, and marketing. In seven comprehensive chapters this guide details theories, methods, and models for the analysis of asymmetric structures;
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Whether you're looking to save the planet or learn more about your local environment, 30-Second Ecology introduces you to the diversity;
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This text introduces marine ecology to undergraduate students in biology, zoology, ecology, environment science, natural resources;
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methods. The emphasis throughout is on spatial ecology and evolution, especially on the interplay between environmental heterogeneity and;
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