eBook
Introduction to Quantitative Ecology : Mathematical and Statistical Modelling for Beginners
| Title: | Introduction to Quantitative Ecology : Mathematical and Statistical Modelling for Beginners |
|---|---|
| Description: | 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 textbook 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. |
| Authors: | Timothy E. Essington |
| Resource Type: | eBook. |
| Subjects: | Quantitative research, Ecology--Statistical methods, Ecology--Mathematical models |
| Categories: | SCIENCE / Mechanics / Statics |
| Database: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 3036854 RelevancyScore: 956 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 955.975708007813 |
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| Items | – Name: Title Label: Title Group: Ti Data: Introduction to Quantitative Ecology : Mathematical and Statistical Modelling for Beginners – Name: Abstract Label: Description Group: Ab Data: 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 textbook 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Timothy+E%2E+Essington%22">Timothy E. Essington</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Ecology--Statistical+methods%22">Ecology--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22Ecology--Mathematical+models%22">Ecology--Mathematical models</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Mechanics+%2F+Statics%22">SCIENCE / Mechanics / Statics</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3036854 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 577.0151 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Quantitative research Type: general – SubjectFull: Ecology--Statistical methods Type: general – SubjectFull: Ecology--Mathematical models Type: general Titles: – TitleFull: Introduction to Quantitative Ecology : Mathematical and Statistical Modelling for Beginners Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Timothy E. Essington – PersonEntity: Name: NameFull: Timothy E. Essington IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 – D: 13 M: 10 Type: profile Y: 2021 Identifiers: – Type: isbn-print Value: 9780192843470 – Type: isbn-print Value: 9780192843487 – Type: isbn-electronic Value: 9780192655448 Titles: – TitleFull: Introduction to Quantitative Ecology : Mathematical and Statistical Modelling for Beginners Type: main |
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