| Titre : |
Introduction to quantitative ecology: mathematical and statistical modelling for beginners |
| Type de document : |
livre |
| Auteurs : |
Timothy E. Essington, Auteur |
| Mention d'édition : |
1st ed. |
| Editeur : |
New York : Oxford University Press, NY |
| Année de publication : |
2021 |
| Importance : |
304 p. |
| ISBN/ISSN/EAN : |
978-0-19-284348-7 |
| Prix : |
34.99 GBP |
| Note générale : |
DOI:10.1093/oso/9780192843470.001.0001; Companion website : https://global.oup.com/booksites/content/9780192843470/ |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Quantitative analysis Statistical models Mathematical models R (Computer program language) Ecology Resource conservation Resource management |
| Résumé : |
La 4ème de couv. indique : Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field. A well-trained ecologist now needs to evaluate evidence generated from complex quantitative methods, and to apply these methods in their own research. Yet the existing books and academic coursework are not adequately serving most of the potential audience - instead they cater to the specialists who wish to focus on either mathematical or statistical aspects, and overwhelmingly appeal to those who already have confidence in their quantitative skills. At the same time, many texts lack an explicit emphasis on the epistemology of quantitative techniques. That is, how do we gain understanding about the real world from models that are so vastly simplified? This accessible book introduces quantitative ecology in a manner that aims to confront these limitations and thereby appeal to a far wider audience. It presents material in an informal, approachable, and encouraging manner that welcomes readers with any degree of confidence and prior training. It covers foundational topics in both mathematical and statistical ecology before describing how to implement these concepts to choose, use, and analyse models, providing guidance and worked examples in both spreadsheet format and R. The emphasis throughout is on the skilful interpretation of models to answer questions about the natural world. "Introduction to Quantitative Ecology" is suitable for advanced undergraduate students and incoming graduate students, seeking to strengthen their understanding of quantitative methods and to apply them successfully to real world ecology, conservation, and resource management scenarios. |
| En ligne : |
https://global.oup.com/academic/product/introduction-to-quantitative-ecology-978 [...] |
Introduction to quantitative ecology: mathematical and statistical modelling for beginners [livre] / Timothy E. Essington, Auteur . - 1st ed. . - New York : Oxford University Press, NY, 2021 . - 304 p. ISBN : 978-0-19-284348-7 : 34.99 GBP DOI:10.1093/oso/9780192843470.001.0001; Companion website : https://global.oup.com/booksites/content/9780192843470/ Langues : Anglais ( eng)
| Mots-clés : |
Quantitative analysis Statistical models Mathematical models R (Computer program language) Ecology Resource conservation Resource management |
| Résumé : |
La 4ème de couv. indique : Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field. A well-trained ecologist now needs to evaluate evidence generated from complex quantitative methods, and to apply these methods in their own research. Yet the existing books and academic coursework are not adequately serving most of the potential audience - instead they cater to the specialists who wish to focus on either mathematical or statistical aspects, and overwhelmingly appeal to those who already have confidence in their quantitative skills. At the same time, many texts lack an explicit emphasis on the epistemology of quantitative techniques. That is, how do we gain understanding about the real world from models that are so vastly simplified? This accessible book introduces quantitative ecology in a manner that aims to confront these limitations and thereby appeal to a far wider audience. It presents material in an informal, approachable, and encouraging manner that welcomes readers with any degree of confidence and prior training. It covers foundational topics in both mathematical and statistical ecology before describing how to implement these concepts to choose, use, and analyse models, providing guidance and worked examples in both spreadsheet format and R. The emphasis throughout is on the skilful interpretation of models to answer questions about the natural world. "Introduction to Quantitative Ecology" is suitable for advanced undergraduate students and incoming graduate students, seeking to strengthen their understanding of quantitative methods and to apply them successfully to real world ecology, conservation, and resource management scenarios. |
| En ligne : |
https://global.oup.com/academic/product/introduction-to-quantitative-ecology-978 [...] |
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