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Tuesday, April 14, 2020 | History

13 edition of Statistical ecology found in the catalog.

Statistical ecology

a primer on methods and computing

by John A. Ludwig

  • 59 Want to read
  • 20 Currently reading

Published by Wiley in New York .
Written in English

    Subjects:
  • Ecology -- Statistical methods

  • Edition Notes

    StatementJohn A. Ludwig, James F. Reynolds.
    ContributionsReynolds, James F., 1946-
    Classifications
    LC ClassificationsQH541.15.S72 L83 1988
    The Physical Object
    Paginationxviii, 337 p. :
    Number of Pages337
    ID Numbers
    Open LibraryOL2396580M
    ISBN 100471832359
    LC Control Number87026348


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Statistical ecology by John A. Ludwig Download PDF EPUB FB2

Statistical Ecology provided very lucid discussions of the concept and applications of several uni- and multivariate methods.

I especially liked the chapter on non-linear ordinations and their use. The presentation on detrended correspondence analysis is excellent (and the method that I ended up utilizing to summarize and interpret my data)/5(2).

I would be using the book to teach myself more about the application of statistics in ecology than anything else so even an introductory book with good/interesting examples would be much appreciated.

Also, my research tends to be geared towards Bayesian statistics so. Covering a wide range of disciplines, this book explains the formulae, techniques, and methods used in field ecology. By providing an awareness of the statistical foundation for existing methods, the book will make biologists more aware of the strengths and possible weaknesses of procedures employed, and statisticians more appreciative of the needs of the field ecologist.3/5(1).

Statistical Ecology was easy to interpret. Examples made this book excellent. The book comes with a disk containing BASIC programs. This is of little help for individuals having win 95/ The BASIC interpreter, mentioned in the primer, was terminated when Windows 95 replaced MSDOS as the OS for PCs.

So if you have win95/98 you are BASICally hosed/5(2). The book presents further details of a new paradigm intended for statistical studies of stand-level vegetation energetics. The approach is holistic and the techniques are quantum ecological. The case study’s objective is stand-level vegetation mapping by energy criteria.

Since the vegetation process is conceived as an energy structural phenomenon, Statistical ecology book obvious choice for mapping is an energy. Covering a wide range of disciplines, this book explains the formulae, techniques, and methods used in field ecology.

By providing an awareness of the statistical foundation for existing methods, the book will make biologists more aware of the strengths and possible weaknesses of procedures employed, and statisticians more appreciative of the needs of the field ecologist.

The award winner will receive a prize of $, a copy of a book by Pielou (winner’s choice), and recognition on the ESA Stats Ecology website. The previous year’s winner will be announced at the annual Statistical Ecology Section social at the ESA annual meeting.

E-BOOK EXCERPT. Covering a wide range of disciplines, this book explains the formulae, techniques, and methods used in field ecology. By providing an awareness of the statistical foundation for existing methods, the book will make biologists more aware of the strengths and possible weaknesses of procedures employed, and statisticians more appreciative of the needs of the field ecologist.

The officers of the Statistical Ecology Section will assemble a committee that will judge the student presentations. Award details The award winner will receive a prize of $, a copy of a book by Pielou (winner’s choice), and recognition on the ESA Stats Ecology website.

An accessible introduction to quantitative methods in community ecology, with related software. Provides a thoughtful overview on the nature of data collection, followed by detailed explanations of the major statistical techniques applied to problems in population dynamics. Presents important conclusions about the use (and abuse) of specific techniques.4/5(1).

book Aug 4 CHAPTER 1 tor visits per hour for every additional prey individual present. These values are more useful than p (significance) values, or than regression slopes from transformed data, because they express statistical information in ecological terms. WHAT THIS BOOK IS NOT ABOUT What you should already know.

Methods in Statistical Ecology. Book Series There are 2 volumes in this series. Published - About this series. This new series in statistical ecology is designed to cover diverse topics in emerging interdisciplinary research.

The emphasis is on specific statistical methodologies utilized in burgeoning areas of quantitative ecology. Statistical Ecology / HMSC Hierarchical Modelling of Species Communities (HMSC) is a model-based approach for analyzing community ecological data (Ovaskainen et a. Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology.

In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R.

Drawing on extensive. Statistical ecology deals with the development of new methodologies for analyzing ecological data. Advanced statistical models and techniques are often needed to provide robust analyses of the Author: Ruth King. Find many great new & used options and get the best deals for Statistical Ecology: Spatial and Temporal Analysis in Ecology Vol.

8 (, Hardcover) at the best online prices at. Get this from a library. Statistical ecology: a primer on methods and computing. [John A Ludwig; James F Reynolds] -- An introduction to current statistical topics in community ecology.

Presents topics of historical importance (polar ordination); popular topics (diversity indices, including their misuse); powerful.

A synthesis of contemporary analytical and modeling approaches in population ecology The book provides an overview of the key analytical approaches that are currently used in demographic, genetic, and spatial analyses in population ecology.

The chapters present current problems, introduce advances in analytical methods and models, and demonstrate the applications of quantitative methods to. include the statistical properties of ratios and other nonlinear combina-tions of random variables, rules of expectation, the principle of maximum likelihood estimation, and the Taylor series approximation.

This book is an attempt to address problems such as those above adopt-ing the special perspective of behavioral ecology. Throughout the book. An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences is an ideal textbook for upper-undergraduate and graduate-level courses in research methods, biostatistics, statistics, biology, kinesiology, sports science and medicine, health and physical education, medicine, and nutrition.

The book is. Introduction. The two instances of modern in the title of this book reflect the two major recent revolutions in biological data analyses.

Biology, formerly a science with sparse, often only qualitative data has turned into a field whose production of quantitative data is on par with high energy physics or astronomy, and whose data are wildly more heterogeneous and complex.

Statistical ecology and environmental statistics are in a take-off stage both for reasons of societal challenge and statistical opportunity. It is becoming clear that statistical ecology and environmental statistics are calling for more and more of non-traditional statistical approaches.

This is partly because ecological and environmental studiesFile Size: KB. The relationship between ecology and statistics, although new relative to ecology itself, is a committedthey often appear joined at the hip.

Ecological Statistics and The New Statistics with R both illustrate the depth of the union between the disciplines—the good and the bad. These two books, although very different in focus, message, and design, share the fundamental goal of Cited by: 1. The National Centre for Statistical Ecology (NCSE) is a joint research centre, spanning a number of institutions.

It was established in as a joint research centre between the Universities of Kent, Cambridge and St Andrews, with the aid of a mathematics. Authors. Otso Ovaskainen, University of Helsinki Otso Ovaskainen is Professor of Mathematical Ecology at the University of Helsinki, Finland.

He has published papers in mathematical, statistical and empirical ecology, with a particular focus on metapopulation ecology, movement ecology, population genetics, molecular species identification and community ecology. Statistical ecology is the area of statistics that deals with the development of new methodology for analysing ecological data.

Advanced statistical models and techniques are often needed to Author: Ruth King. pages, Springer Science & Business Media, Covering a wide range of disciplines, this book explains the formulae, techniques, and methods used in field ecology.

By providing an awareness of the statistical foundation for existing methods, the book will make biologists more aware of the strengths and possible weaknesses of procedures employed, and statisticians more appreciative.

An accessible introduction to quantitative methods in community ecology, with related software. Provides a thoughtful overview on the nature of data collection, followed by detailed explanations of the major statistical techniques applied to problems in Author: John A.

Ludwig. (source: Nielsen Book Data) Summary This introduction to quantitative methods in community ecology aims to provide an overview of the nature of data collection, followed by detailed explanations of the major statistical techniques applied to problems in population dynamics.

It presents information on the use (and abuse) of specific techniques. Statistical Ecology Equations - search pdf books free download Free eBook and manual for Business, Education,Finance, Inspirational, Novel, Religion, Social, Sports, Science, Technology, Holiday, Medical,Daily new PDF ebooks documents ready for download, All PDF documents are Free,The biggest database for Free books and documents search with fast results better than any.

Brand new Book. This text combines principles of good field ecology research design with practical statistical analysis, suited to the needs of advanced students taking Field Ecology courses or undertaking projects that contribute to their final degree classification.

" -- Book Edition: 1st Edition. Statistical ecology: a primer on methods & computing. Abstract. No abstract available. Cited By.

Mayya S, Pierpaoli P, Nair G and Egerstedt M () Localization in Densely Packed Swarms Using Interrobot Collisions as a Sensing Modality, IEEE Transactions on Robotics,(), Online publication date: 1-Feb Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies.

This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced by: The book by Marc Kery “Introduction to WinBUGS for Ecologists” makes extensive use of simulated datasets.

It starts with a mean model, and then t-tests, and goes up through GLMMs including ZIPs and mixture models. See the book web site for a couple of sample chapters.

The code from his book is in this file There are no data. Theoretical ecology is the scientific discipline devoted to the study of ecological systems using theoretical methods such as simple conceptual models, mathematical models, computational simulations, and advanced data ive models improve understanding of the natural world by revealing how the dynamics of species populations are often based on fundamental biological conditions and.

This new series in statistical ecology is designed to cover diverse topics in emerging interdisciplinary research. The emphasis is on specific statistical methodologies utilized in burgeoning areas of quantitative ecology. The series focuses primarily on monographs from leading researchers.

Bachl, R.E., Lindgren, F., Borchers, D.L. and Illian, J.B. () inlabru: an R package for Bayesian spatial modelling from ecological survey data. Methods in. Ecology publishes articles that report on the basic elements of ecological is is placed on concise, clear articles documenting important ecological phenomena.

The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population.

Linda Jean Young (born ) is the Chief Mathematical Statistician and Director of Research and Development at the National Agricultural Statistics Service.

Her research interests include integrating diverse data especially that involving spatial data, agriculturl data, and statistical ecology. Young earned BS and MS degrees in mathematics from West Texas State University in and Authority control: ISNI:.