Language: English
Published by Springer International Publishing AG, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Seller: Better World Books Ltd, Dunfermline, United Kingdom
Condition: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Add to basketCondition: New. In English.
Paperback. Condition: New.
Language: English
Published by Springer International Publishing AG, CH, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. 1st ed. 2016.
Condition: New.
Condition: New.
Language: English
Published by Springer International Publishing AG, CH, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. 1st ed. 2016.
Paperback. Condition: Brand New. 344 pages. 9.25x6.25x1.00 inches. In Stock.
Language: English
Published by Springer, Palgrave Macmillan, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a 'How To' guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations. IPMs may seem hard as they involve integrals. The aim of this book is to demystify IPMs, so they become the model of choice for populations structured by size or other continuously varying traits. The book uses real examples of increasing complexity to show how the life-cycle of the study organism naturally leads to the appropriate statistical analysis, which leads directly to the IPM itself. A wide range of model types and analyses are presented, including model construction, computational methods, and the underlying theory, with the more technical material in Boxes and Appendices. Self-contained R code which replicates all of the figures and calculations within the text is available to readers on GitHub.Stephen P. Ellner is Horace White Professor of Ecology and Evolutionary Biology at Cornell University, USA; Dylan Z. Childs is Lecturer and NERC Postdoctoral Fellow in the Department of Animal and Plant Sciences at The University of Sheffield, UK; Mark Rees is Professor in the Department of Animal and Plant Sciences at The University of Sheffield, UK.
Taschenbuch. Condition: Neu. Data-driven Modelling of Structured Populations | A Practical Guide to the Integral Projection Model | Stephen P. Ellner (u. a.) | Taschenbuch | Lecture Notes on Mathematical Modelling in the Life Sciences | xiii | Englisch | 2016 | Springer | EAN 9783319288918 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer International Publishing Mai 2016, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a 'How To' guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations. IPMs may seem hard as they involve integrals. The aim of this book is to demystify IPMs, so they become the model of choice for populations structured by size or other continuously varying traits. The book uses real examples of increasing complexity to show how the life-cycle of the study organism naturally leads to the appropriate statistical analysis, which leads directly to the IPM itself. A wide range of model types and analyses are presented, including model construction, computational methods, and the underlying theory, with the more technical material in Boxes and Appendices. Self-contained R code which replicates all of the figures and calculations within the text is available to readers on GitHub.Stephen P. Ellner is Horace White Professor of Ecology and Evolutionary Biology at Cornell University, USA; Dylan Z. Childs is Lecturer and NERC Postdoctoral Fellow in the Department of Animal and Plant Sciences at The University of Sheffield, UK; Mark Rees is Professor in the Department of Animal and Plant Sciences at The University of Sheffield, UK. 344 pp. Englisch.
Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer International Publishing, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The only comprehensive monograph on Integral Projection Models in ecologyAccessible to beginners with minimal math and statistics background, but also includes cutting-edge researchPresents a wide range of model.
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Condition: New. PRINT ON DEMAND.
Language: English
Published by Springer, Palgrave Macmillan Mai 2016, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is a 'How To' guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations. IPMs may seem hard as they involve integrals. The aim of this book is to demystify IPMs, so they become the model of choice for populations structured by size or other continuously varying traits. The book uses real examples of increasing complexity to show how the life-cycle of the study organism naturally leads to the appropriate statistical analysis, which leads directly to the IPM itself. A wide range of model types and analyses are presented, including model construction, computational methods, and the underlying theory, with the more technical material in Boxes and Appendices. Self-contained R code which replicates all of the figures and calculations within the text is available to readers on GitHub.Stephen P. Ellner is Horace White Professor of Ecology and Evolutionary Biology at Cornell University, USA; Dylan Z. Childs is Lecturer and NERC Postdoctoral Fellow in the Department of Animal and Plant Sciences at The University of Sheffield, UK; Mark Rees is Professor in the Department of Animal and Plant Sciences at The University of Sheffield, UK.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 344 pp. Englisch.