Picture 1 of 1
Stock photo
Picture 1 of 1
Stock photo
Introduction to Quantitative Ecology : Mathematical and Statistical Modelling for Beginners by Timothy E. Essington (2021, Trade Paperback)
AlibrisBooks (477124)
98.8% positive feedback
Price:
$145.08
Free shipping
Returns:
30 days returns. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
Condition:
New Paperback
- Buy It NowIntroduction to Quantitative Ecology: Mathematical and Statistical Modelling for
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
About this product
Product Identifiers
PublisherOxford University Press, Incorporated
ISBN-100192843486
ISBN-139780192843487
eBay Product ID (ePID)9050023986
Product Key Features
Book TitleIntroduction to Quantitative Ecology : Mathematical and Statistical Modelling for Beginners
Number of Pages320 Pages
LanguageEnglish
TopicMechanics / Statics, Probability & Statistics / General, Life Sciences / Biology, Applied
Publication Year2021
IllustratorYes
GenreMathematics, Science
AuthorTimothy E. Essington
FormatTrade Paperback
Dimensions
Item Height0.7 in
Item Weight21.4 Oz
Item Length9.6 in
Item Width6.7 in
Additional Product Features
Intended AudienceTrade
LCCN2021-937956
Reviews"Essington... shows how to fit and interpret a simple dynamic model to data clearly and concisely, integrating the main tools of the book... in one elegant case study." -- Joseph D. T. Savage and Christopher M. Moore, The Quarterly Review of Biology"Very accessibly written and clearly aimed at readers who might be predisposed to hate math but are open to a gentle presentation with plenty of real-world examples." -- J. Wilson White, Transactions of the American Fisheries Society, Essington... shows how to fit and interpret a simple dynamic model to data clearly and concisely, integrating the main tools of the book... in one elegant case study., "Essington... shows how to fit and interpret a simple dynamic model to data clearly and concisely, integrating the main tools of the book... in one elegant case study." -- Joseph D. T. Savage and Christopher M. Moore, The Quarterly Review of Biology, "Essington... shows how to fit and interpret a simple dynamic model to data clearly and concisely, integrating the main tools of the book... in one elegant case study." -- Joseph D. T. Savage and Christopher M. Moore, The Quarterly Review of Biology "Very accessibly written and clearly aimed at readers who might be predisposed to hate math but are open to a gentle presentation with plenty of real-world examples." -- J. Wilson White, Transactions of the American Fisheries Society
Dewey Edition23
Dewey Decimal577.0151
Table Of ContentAbout This BookPart I: Fundamentals of Dynamic Models1. Why Do We Model?2. Introduction to Population Models3. Structured Population Models4. Competition and Predation Models5. Stochastic Population ModelsPart II: Fitting Models to Data6. Why Fit Models to Data?7. Random Variables and Probability8. Likelihood and Its Applications10. Model Selection10. Bayesian StatisticsPart III: Skills11. Mathematics Refresher12. Modeling in Spreadsheets13. Modeling in R14. Skills for Dynamic Models15. Sensitivity Analysis16. Skills for Fitting Models to DataPart IV: Putting It All Together and Next Steps17. Putting It Together : Fitting a Dynamic Model18. Next Steps
SynopsisEnvironmental 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., Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field. This accessible textbook introduces quantitative ecology in a manner that aims to confront the limitations of the current literature and thereby appeal to a far wider audience.
LC Classification NumberQH541.15.M3
All listings for this product
Be the first to write a review
