How to be a quantitative ecologist: the 'A to R' of green mathematics and statistics
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
2011
|
| Schriftenreihe: | Aerospace Series
|
| Schlagworte: | |
| Online-Zugang: | FRO01 UBG01 Volltext |
| Beschreibung: | "Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This textbook provides a practical introduction to quantitative ecology for students and practitioners who have realised that they need this opportunity. The text is addressed to readers who haven't used mathematics since school, who were perhaps more confused than enlightened by their undergraduate lectures in statistics and who have never used a computer for much more than word processing and data entry. From this starting point, it slowly but surely instils an understanding of mathematics, statistics and programming, sufficient for initiating research in ecology. The book's practical value is enhanced by extensive use of biological examples and the computer language R for graphics, programming and data analysis. Provides a complete introduction to mathematics statistics and computing for ecologists. Presents a wealth of ecological examples demonstrating the applied relevance of abstract mathematical concepts, showing how a little technique can go a long way in answering interesting ecological questions. Covers elementary topics, including the rules of algebra, logarithms, geometry, calculus, descriptive statistics, probability, hypothesis testing and linear regression. Explores more advanced topics including fractals, non-linear dynamical systems, likelihood and Bayesian estimation, generalised linear, mixed and additive models, and multivariate statistics. R boxes provide step-by-step recipes for implementing the graphical and numerical techniques outlined in each section. How to be a Quantitative Ecologist provides a comprehensive introduction to mathematics, statistics and computing and is the ideal textbook for late undergraduate and postgraduate courses in environmental<a name="_GoBack"></a> biology. "With a book like this, there is no excuse for people to be afraid of maths, and to be ignorant of what it can do." Professor Tim Benton, Faculty of Biological Sciences, University of Leeds, UK"-- "The book will comprise two equal parts on mathematics and statistics with emphasis on quantitative skills"-- Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781119991595 1119991595 9781119991588 1119991587 1283405350 9781283405355 |
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| 500 | |a Provides a complete introduction to mathematics statistics and computing for ecologists. Presents a wealth of ecological examples demonstrating the applied relevance of abstract mathematical concepts, showing how a little technique can go a long way in answering interesting ecological questions. Covers elementary topics, including the rules of algebra, logarithms, geometry, calculus, descriptive statistics, probability, hypothesis testing and linear regression. Explores more advanced topics including fractals, non-linear dynamical systems, likelihood and Bayesian estimation, generalised linear, mixed and additive models, and multivariate statistics. R boxes provide step-by-step recipes for implementing the graphical and numerical techniques outlined in each section. | ||
| 500 | |a How to be a Quantitative Ecologist provides a comprehensive introduction to mathematics, statistics and computing and is the ideal textbook for late undergraduate and postgraduate courses in environmental<a name="_GoBack"></a> biology. "With a book like this, there is no excuse for people to be afraid of maths, and to be ignorant of what it can do." Professor Tim Benton, Faculty of Biological Sciences, University of Leeds, UK"-- | ||
| 500 | |a "The book will comprise two equal parts on mathematics and statistics with emphasis on quantitative skills"-- | ||
| 500 | |a Includes bibliographical references and index | ||
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Datensatz im Suchindex
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| any_adam_object | |
| author | Matthiopoulos, Jason |
| author_facet | Matthiopoulos, Jason |
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| dewey-full | 577.0285/5133 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 577 - Ecology |
| dewey-raw | 577.0285/5133 |
| dewey-search | 577.0285/5133 |
| dewey-sort | 3577.0285 45133 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| format | Electronic eBook |
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| indexdate | 2024-07-10T07:24:44Z |
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| spelling | Matthiopoulos, Jason Verfasser aut How to be a quantitative ecologist the 'A to R' of green mathematics and statistics Jason Matthiopoulos Hoboken, NJ Wiley 2011 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Aerospace Series "Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This textbook provides a practical introduction to quantitative ecology for students and practitioners who have realised that they need this opportunity. The text is addressed to readers who haven't used mathematics since school, who were perhaps more confused than enlightened by their undergraduate lectures in statistics and who have never used a computer for much more than word processing and data entry. From this starting point, it slowly but surely instils an understanding of mathematics, statistics and programming, sufficient for initiating research in ecology. The book's practical value is enhanced by extensive use of biological examples and the computer language R for graphics, programming and data analysis. Provides a complete introduction to mathematics statistics and computing for ecologists. Presents a wealth of ecological examples demonstrating the applied relevance of abstract mathematical concepts, showing how a little technique can go a long way in answering interesting ecological questions. Covers elementary topics, including the rules of algebra, logarithms, geometry, calculus, descriptive statistics, probability, hypothesis testing and linear regression. Explores more advanced topics including fractals, non-linear dynamical systems, likelihood and Bayesian estimation, generalised linear, mixed and additive models, and multivariate statistics. R boxes provide step-by-step recipes for implementing the graphical and numerical techniques outlined in each section. How to be a Quantitative Ecologist provides a comprehensive introduction to mathematics, statistics and computing and is the ideal textbook for late undergraduate and postgraduate courses in environmental<a name="_GoBack"></a> biology. "With a book like this, there is no excuse for people to be afraid of maths, and to be ignorant of what it can do." Professor Tim Benton, Faculty of Biological Sciences, University of Leeds, UK"-- "The book will comprise two equal parts on mathematics and statistics with emphasis on quantitative skills"-- Includes bibliographical references and index Ecology / Mathematics Ecology / Research Ecology / Vocational guidance Mathematics / Vocational guidance Science Natural history MATHEMATICS / Probability & Statistics / General bisacsh NATURE / Ecology bisacsh NATURE / Ecosystems & Habitats / Wilderness bisacsh SCIENCE / Environmental Science bisacsh SCIENCE / Life Sciences / Ecology bisacsh Ecology / Mathematics fast Ecology / Research fast Ecology / Vocational guidance fast Mathematics / Vocational guidance fast Quantitative analysts fast Quantitative research fast Mathematik Naturwissenschaft Ökologie Quantitative analysts Quantitative research Ökologie (DE-588)4043207-5 gnd rswk-swf Biomathematik (DE-588)4139408-2 gnd rswk-swf Biostatistik (DE-588)4729990-3 gnd rswk-swf Ökologie (DE-588)4043207-5 s Biomathematik (DE-588)4139408-2 s Biostatistik (DE-588)4729990-3 s 1\p DE-604 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119991595 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Matthiopoulos, Jason How to be a quantitative ecologist the 'A to R' of green mathematics and statistics Ecology / Mathematics Ecology / Research Ecology / Vocational guidance Mathematics / Vocational guidance Science Natural history MATHEMATICS / Probability & Statistics / General bisacsh NATURE / Ecology bisacsh NATURE / Ecosystems & Habitats / Wilderness bisacsh SCIENCE / Environmental Science bisacsh SCIENCE / Life Sciences / Ecology bisacsh Ecology / Mathematics fast Ecology / Research fast Ecology / Vocational guidance fast Mathematics / Vocational guidance fast Quantitative analysts fast Quantitative research fast Mathematik Naturwissenschaft Ökologie Quantitative analysts Quantitative research Ökologie (DE-588)4043207-5 gnd Biomathematik (DE-588)4139408-2 gnd Biostatistik (DE-588)4729990-3 gnd |
| subject_GND | (DE-588)4043207-5 (DE-588)4139408-2 (DE-588)4729990-3 |
| title | How to be a quantitative ecologist the 'A to R' of green mathematics and statistics |
| title_auth | How to be a quantitative ecologist the 'A to R' of green mathematics and statistics |
| title_exact_search | How to be a quantitative ecologist the 'A to R' of green mathematics and statistics |
| title_full | How to be a quantitative ecologist the 'A to R' of green mathematics and statistics Jason Matthiopoulos |
| title_fullStr | How to be a quantitative ecologist the 'A to R' of green mathematics and statistics Jason Matthiopoulos |
| title_full_unstemmed | How to be a quantitative ecologist the 'A to R' of green mathematics and statistics Jason Matthiopoulos |
| title_short | How to be a quantitative ecologist |
| title_sort | how to be a quantitative ecologist the a to r of green mathematics and statistics |
| title_sub | the 'A to R' of green mathematics and statistics |
| topic | Ecology / Mathematics Ecology / Research Ecology / Vocational guidance Mathematics / Vocational guidance Science Natural history MATHEMATICS / Probability & Statistics / General bisacsh NATURE / Ecology bisacsh NATURE / Ecosystems & Habitats / Wilderness bisacsh SCIENCE / Environmental Science bisacsh SCIENCE / Life Sciences / Ecology bisacsh Ecology / Mathematics fast Ecology / Research fast Ecology / Vocational guidance fast Mathematics / Vocational guidance fast Quantitative analysts fast Quantitative research fast Mathematik Naturwissenschaft Ökologie Quantitative analysts Quantitative research Ökologie (DE-588)4043207-5 gnd Biomathematik (DE-588)4139408-2 gnd Biostatistik (DE-588)4729990-3 gnd |
| topic_facet | Ecology / Mathematics Ecology / Research Ecology / Vocational guidance Mathematics / Vocational guidance Science Natural history MATHEMATICS / Probability & Statistics / General NATURE / Ecology NATURE / Ecosystems & Habitats / Wilderness SCIENCE / Environmental Science SCIENCE / Life Sciences / Ecology Quantitative analysts Quantitative research Mathematik Naturwissenschaft Ökologie Biomathematik Biostatistik |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781119991595 |
| work_keys_str_mv | AT matthiopoulosjason howtobeaquantitativeecologisttheatorofgreenmathematicsandstatistics |