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Título : Numerical Ecology with R Tipo de documento: documento electrónico Autores: Daniel Borcard ; SpringerLink (Online service) ; Francois Gillet ; Legendre, Pierre Editorial: New York, NY : Springer New York Fecha de publicación: 2011 Colección: Use R Número de páginas: XII, 306 p Il.: online resource ISBN/ISSN/DL: 978-1-4419-7976-6 Idioma : Inglés (eng) Palabras clave: Statistics Epidemiology Biostatistics Ecology Forestry for Life Sciences, Medicine, Health Sciences Environmental Monitoring/Analysis Theoretical Ecology/Statistics Clasificación: 51 Matemáticas Resumen: Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spatial analysis. All the necessary data files, the scripts used in the chapters, as well as the extra R functions and packages written by the authors, can be downloaded from a web page accessible through the Springer web site(http://adn.biol.umontreal.ca/~numericalecology/numecolR/). This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. The three authors teach numerical ecology, both theoretical and practical, to a wide array of audiences, in regular courses in their Universities and in short courses given around the world. Daniel Borcard is lecturer of Biostatistics and Ecology and researcher in Numerical Ecology at Université de Montréal, Québec, Canada. François Gillet is professor of Community Ecology and Ecological Modelling at Université de Franche-Comté, Besançon, France. Pierre Legendre is professor of Quantitative Biology and Ecology at Université de Montréal, Fellow of the Royal Society of Canada, and ISI Highly Cited Researcher in Ecology/Environment Nota de contenido: Introduction -- Exploratory data analysis -- Association measures and matrices -- Cluster analysis -- Unconstrained ordination -- Canonical ordination -- Spatial analysis of ecological data. En línea: http://dx.doi.org/10.1007/978-1-4419-7976-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33178 Numerical Ecology with R [documento electrónico] / Daniel Borcard ; SpringerLink (Online service) ; Francois Gillet ; Legendre, Pierre . - New York, NY : Springer New York, 2011 . - XII, 306 p : online resource. - (Use R) .
ISBN : 978-1-4419-7976-6
Idioma : Inglés (eng)
Palabras clave: Statistics Epidemiology Biostatistics Ecology Forestry for Life Sciences, Medicine, Health Sciences Environmental Monitoring/Analysis Theoretical Ecology/Statistics Clasificación: 51 Matemáticas Resumen: Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spatial analysis. All the necessary data files, the scripts used in the chapters, as well as the extra R functions and packages written by the authors, can be downloaded from a web page accessible through the Springer web site(http://adn.biol.umontreal.ca/~numericalecology/numecolR/). This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. The three authors teach numerical ecology, both theoretical and practical, to a wide array of audiences, in regular courses in their Universities and in short courses given around the world. Daniel Borcard is lecturer of Biostatistics and Ecology and researcher in Numerical Ecology at Université de Montréal, Québec, Canada. François Gillet is professor of Community Ecology and Ecological Modelling at Université de Franche-Comté, Besançon, France. Pierre Legendre is professor of Quantitative Biology and Ecology at Université de Montréal, Fellow of the Royal Society of Canada, and ISI Highly Cited Researcher in Ecology/Environment Nota de contenido: Introduction -- Exploratory data analysis -- Association measures and matrices -- Cluster analysis -- Unconstrained ordination -- Canonical ordination -- Spatial analysis of ecological data. En línea: http://dx.doi.org/10.1007/978-1-4419-7976-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33178 Ejemplares
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Título : A Beginner's Guide to R Tipo de documento: documento electrónico Autores: Alain F. Zuur ; SpringerLink (Online service) ; Elena N. Ieno ; Meesters, Erik Editorial: New York, NY : Springer New York Fecha de publicación: 2009 Colección: Use R Número de páginas: XV, 220 p Il.: online resource ISBN/ISSN/DL: 978-0-387-93837-0 Idioma : Inglés (eng) Palabras clave: Statistics Ecology and Computing/Statistics Programs Theoretical Ecology/Statistics for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes. This book contains everything you need to know to get started with R. "Its biggest advantage is that it aims only to teach R...It organizes R commands very efficiently, with much teaching guidance included. I would describe this book as being handy--it's the kind of book that you want to keep in your jacket pocket or backpack all the time, ready for use, like a Swiss Army knife." (Loveday Conquest, University of Washington) "Whilst several books focus on learning statistics in R..., the authors of this book fill a gap in the market by focusing on learning R whilst almost completely avoiding any statistical jargon...The fact that the authors have very extensive experience of teaching R to absolute beginners shines throughout." (Mark Mainwaring, Lancaster University) "Exactly what is needed...This is great, nice work. I love the ecological/biological examples; they will be an enormous help." (Andrew J. Tyne, University of Nebraska-Lincoln) Alain F. Zuur is senior statistician and director of Highland Statistics Ltd., a statistical consultancy company based in the UK. He has taught statistics to more than 5000 ecologists. He is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK. Elena N. Ieno is senior marine biologist and co-director at Highland Statistics Ltd. She has been involved in guiding PhD students on the design and analysis of ecological data. She is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK. Erik H.W.G. Meesters is a researcher at the Dutch Institute for Marine Resources and Ecosystem Studies (IMARES). He specializes in coral reef ecology and applied statistics and conducts research on North Sea benthos and seal ecology Nota de contenido: Getting Data into R -- Accessing Variables and Managing Subsets of Data -- Simple Functions -- An Introduction to Basic Plotting Tools -- Loops and Functions -- Graphing Tools -- An Introduction to the Lattice Package -- Common R Mistakes En línea: http://dx.doi.org/10.1007/978-0-387-93837-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33925 A Beginner's Guide to R [documento electrónico] / Alain F. Zuur ; SpringerLink (Online service) ; Elena N. Ieno ; Meesters, Erik . - New York, NY : Springer New York, 2009 . - XV, 220 p : online resource. - (Use R) .
ISBN : 978-0-387-93837-0
Idioma : Inglés (eng)
Palabras clave: Statistics Ecology and Computing/Statistics Programs Theoretical Ecology/Statistics for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes. This book contains everything you need to know to get started with R. "Its biggest advantage is that it aims only to teach R...It organizes R commands very efficiently, with much teaching guidance included. I would describe this book as being handy--it's the kind of book that you want to keep in your jacket pocket or backpack all the time, ready for use, like a Swiss Army knife." (Loveday Conquest, University of Washington) "Whilst several books focus on learning statistics in R..., the authors of this book fill a gap in the market by focusing on learning R whilst almost completely avoiding any statistical jargon...The fact that the authors have very extensive experience of teaching R to absolute beginners shines throughout." (Mark Mainwaring, Lancaster University) "Exactly what is needed...This is great, nice work. I love the ecological/biological examples; they will be an enormous help." (Andrew J. Tyne, University of Nebraska-Lincoln) Alain F. Zuur is senior statistician and director of Highland Statistics Ltd., a statistical consultancy company based in the UK. He has taught statistics to more than 5000 ecologists. He is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK. Elena N. Ieno is senior marine biologist and co-director at Highland Statistics Ltd. She has been involved in guiding PhD students on the design and analysis of ecological data. She is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK. Erik H.W.G. Meesters is a researcher at the Dutch Institute for Marine Resources and Ecosystem Studies (IMARES). He specializes in coral reef ecology and applied statistics and conducts research on North Sea benthos and seal ecology Nota de contenido: Getting Data into R -- Accessing Variables and Managing Subsets of Data -- Simple Functions -- An Introduction to Basic Plotting Tools -- Loops and Functions -- Graphing Tools -- An Introduction to the Lattice Package -- Common R Mistakes En línea: http://dx.doi.org/10.1007/978-0-387-93837-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33925 Ejemplares
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Título : Killer Cell Dynamics : Mathematical and Computational Approaches to Immunology Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Dominik Wodarz Editorial: New York, NY : Springer New York Fecha de publicación: 2007 Colección: Interdisciplinary Applied Mathematics, ISSN 0939-6047 num. 32 Número de páginas: XIII, 220 p Il.: online resource ISBN/ISSN/DL: 978-0-387-68733-9 Idioma : Inglés (eng) Palabras clave: Mathematics Immunology Cell biology Ecology Evolutionary Biomathematics Mathematical and Computational Biology Theoretical Ecology/Statistics Clasificación: 51 Matemáticas Resumen: This book reviews how mathematics can be used in combination with biological data in order to improve understanding of how the immune system works. This is illustrated largely in the context of viral infections. Mathematical models allow scientists to capture complex biological interactions in a clear mathematical language and to follow them to their precise logical conclusions. This can give rise to counter-intuitive insights which would not be attained by experiments alone, and can be used for the design of further experiments in order to address the mathematical results. This book provides both an introduction to the field of mathematical immunology, and an overview of many topics which are the subject of current research, covering a broad variety of immunological topics. It starts with basic principles of immunology and covers the dynamical interactions between the immune system and specific viral infections, including important human pathogens such as HIV. General biological and mathematical background material to both virus infection and immune system dynamics is provided, and each chapter begins with a simple introduction to the biological questions examined. This book is intended for an interdisciplinary audience. It explains the concept of mathematical modeling in immunology and shows how modeling has been used to address specific questions. It is intended both for the mathematical biologists who are interested in immunology, and for the biological readership that is interested in the use of mathematical models in immunology. Dominik Wodarz is an Associate Professor at the Department of Ecology and Evolutionary Biology at the University of California, Irvine Nota de contenido: Viruses and Immune Responses: A Dynamical View -- Models of CTL Responses and Correlates of Virus Control -- CTL Memory -- CD4 T Cell Help -- Immunodominance -- Multiple Infections and CTL Dynamics -- Control versus CTL-Induced Pathology -- Lytic versus Nonlytic Activity -- Dynamical Interactions between CTL and Antibody Responses -- Effector Molecules and CTL Homeostasis -- Virus-Induced Subversion of CTL Responses -- Boosting Immunity against Immunosuppressive Infections -- Evolutionary Aspects of Immunity En línea: http://dx.doi.org/10.1007/978-0-387-68733-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34509 Killer Cell Dynamics : Mathematical and Computational Approaches to Immunology [documento electrónico] / SpringerLink (Online service) ; Dominik Wodarz . - New York, NY : Springer New York, 2007 . - XIII, 220 p : online resource. - (Interdisciplinary Applied Mathematics, ISSN 0939-6047; 32) .
ISBN : 978-0-387-68733-9
Idioma : Inglés (eng)
Palabras clave: Mathematics Immunology Cell biology Ecology Evolutionary Biomathematics Mathematical and Computational Biology Theoretical Ecology/Statistics Clasificación: 51 Matemáticas Resumen: This book reviews how mathematics can be used in combination with biological data in order to improve understanding of how the immune system works. This is illustrated largely in the context of viral infections. Mathematical models allow scientists to capture complex biological interactions in a clear mathematical language and to follow them to their precise logical conclusions. This can give rise to counter-intuitive insights which would not be attained by experiments alone, and can be used for the design of further experiments in order to address the mathematical results. This book provides both an introduction to the field of mathematical immunology, and an overview of many topics which are the subject of current research, covering a broad variety of immunological topics. It starts with basic principles of immunology and covers the dynamical interactions between the immune system and specific viral infections, including important human pathogens such as HIV. General biological and mathematical background material to both virus infection and immune system dynamics is provided, and each chapter begins with a simple introduction to the biological questions examined. This book is intended for an interdisciplinary audience. It explains the concept of mathematical modeling in immunology and shows how modeling has been used to address specific questions. It is intended both for the mathematical biologists who are interested in immunology, and for the biological readership that is interested in the use of mathematical models in immunology. Dominik Wodarz is an Associate Professor at the Department of Ecology and Evolutionary Biology at the University of California, Irvine Nota de contenido: Viruses and Immune Responses: A Dynamical View -- Models of CTL Responses and Correlates of Virus Control -- CTL Memory -- CD4 T Cell Help -- Immunodominance -- Multiple Infections and CTL Dynamics -- Control versus CTL-Induced Pathology -- Lytic versus Nonlytic Activity -- Dynamical Interactions between CTL and Antibody Responses -- Effector Molecules and CTL Homeostasis -- Virus-Induced Subversion of CTL Responses -- Boosting Immunity against Immunosuppressive Infections -- Evolutionary Aspects of Immunity En línea: http://dx.doi.org/10.1007/978-0-387-68733-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34509 Ejemplares
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Título : Evolution Equations Arising in the Modelling of Life Sciences Tipo de documento: documento electrónico Autores: Messoud Efendiev ; SpringerLink (Online service) Editorial: Basel : Springer Basel Fecha de publicación: 2013 Otro editor: Imprint: Birkhäuser Colección: International Series of Numerical Mathematics num. 163 Número de páginas: XII, 217 p Il.: online resource ISBN/ISSN/DL: 978-3-0348-0615-2 Idioma : Inglés (eng) Palabras clave: Mathematics Systems biology Ecology Partial differential equations Biomathematics Mathematical and Computational Biology Physiological, Cellular Medical Topics Differential Equations Theoretical Ecology/Statistics Clasificación: 51 Matemáticas Resumen: This book deals with the modeling, analysis and simulation of problems arising in the life sciences, and especially in biological processes. The models and findings presented result from intensive discussions with microbiologists, doctors and medical staff, physicists, chemists and industrial engineers and are based on experimental data. They lead to a new class of degenerate density-dependent nonlinear reaction-diffusion convective equations that simultaneously comprise two kinds of degeneracy: porous-medium and fast-diffusion type degeneracy. To date, this class is still not clearly understood in the mathematical literature and thus especially interesting. The author both derives realistic life science models and their above-mentioned governing equations of the degenerate types and systematically studies these classes of equations. In each concrete case well-posedness, the dependence of solutions on boundary conditions reflecting some properties of the environment, and the large-time behavior of solutions are investigated and in some instances also studied numerically Nota de contenido: Preface -- 1 Auxiliary Materials -- 2 Global attractors for autonomous evolution equations -- 3 Verifying life science models containing diffusion, transport and interaction of species -- 4 Positivity criterion for systems of stochastic PDEs -- Existence and longtime behaviour of a biofilm model -- 6 The blood coagulation cascade in a perfusion experiment: example from pharmaceutical industry -- Index En línea: http://dx.doi.org/10.1007/978-3-0348-0615-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32441 Evolution Equations Arising in the Modelling of Life Sciences [documento electrónico] / Messoud Efendiev ; SpringerLink (Online service) . - Basel : Springer Basel : Imprint: Birkhäuser, 2013 . - XII, 217 p : online resource. - (International Series of Numerical Mathematics; 163) .
ISBN : 978-3-0348-0615-2
Idioma : Inglés (eng)
Palabras clave: Mathematics Systems biology Ecology Partial differential equations Biomathematics Mathematical and Computational Biology Physiological, Cellular Medical Topics Differential Equations Theoretical Ecology/Statistics Clasificación: 51 Matemáticas Resumen: This book deals with the modeling, analysis and simulation of problems arising in the life sciences, and especially in biological processes. The models and findings presented result from intensive discussions with microbiologists, doctors and medical staff, physicists, chemists and industrial engineers and are based on experimental data. They lead to a new class of degenerate density-dependent nonlinear reaction-diffusion convective equations that simultaneously comprise two kinds of degeneracy: porous-medium and fast-diffusion type degeneracy. To date, this class is still not clearly understood in the mathematical literature and thus especially interesting. The author both derives realistic life science models and their above-mentioned governing equations of the degenerate types and systematically studies these classes of equations. In each concrete case well-posedness, the dependence of solutions on boundary conditions reflecting some properties of the environment, and the large-time behavior of solutions are investigated and in some instances also studied numerically Nota de contenido: Preface -- 1 Auxiliary Materials -- 2 Global attractors for autonomous evolution equations -- 3 Verifying life science models containing diffusion, transport and interaction of species -- 4 Positivity criterion for systems of stochastic PDEs -- Existence and longtime behaviour of a biofilm model -- 6 The blood coagulation cascade in a perfusion experiment: example from pharmaceutical industry -- Index En línea: http://dx.doi.org/10.1007/978-3-0348-0615-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32441 Ejemplares
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