The Interpretation Of Ecological Data
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The Interpretation Of Ecological Data
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Author : E. C. Pielou
language : en
Publisher: John Wiley & Sons
Release Date : 1984-09-06
The Interpretation Of Ecological Data written by E. C. Pielou and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984-09-06 with Science categories.
A detailed introduction to the methods used by ecologists--classification and ordination--to clarify and interpret large, unwieldy masses of multivariate field data. Permits ecologists to understand, not just mechanically use, pre-packaged programs for multivariate analysis. Demonstrates these techniques using artificial data simple enough for every analytical step to be understood.
Analyzing Ecological Data
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Author : Alain Zuur
language : en
Publisher: Springer
Release Date : 2007-08-29
Analyzing Ecological Data written by Alain Zuur and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-29 with Science categories.
This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis, and spatial statistics. The second part provides 17 case studies. The case studies include topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in the book.
Data Analysis In Community And Landscape Ecology
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Author : R. H. Jongman
language : en
Publisher: Cambridge University Press
Release Date : 1995-03-02
Data Analysis In Community And Landscape Ecology written by R. H. Jongman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-03-02 with Mathematics categories.
Ecological data has several special properties: the presence or absence of species on a semi-quantitative abundance scale; non-linear relationships between species and environmental factors; and high inter-correlations among species and among environmental variables. The analysis of such data is important to the interpretation of relationships within plant and animal communities and with their environments. In this corrected version of Data Analysis in Community and Landscape Ecology, without using complex mathematics, the contributors demonstrate the methods that have proven most useful, with examples, exercises and case-studies. Chapters explain in an elementary way powerful data analysis techniques such as logic regression, canonical correspondence analysis, and kriging.
Rationale For Sampling And Interpretation Of Ecological Data In The Assessment Of Freshwater Ecosystems
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Author : Billy G. Isom
language : en
Publisher: ASTM International
Release Date : 1986
Rationale For Sampling And Interpretation Of Ecological Data In The Assessment Of Freshwater Ecosystems written by Billy G. Isom and has been published by ASTM International this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Ecological assessment (Biology) categories.
Multivariate Analysis Of Ecological Data
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Author : Michael Greenacre
language : es
Publisher: Fundacion BBVA
Release Date : 2014-01-09
Multivariate Analysis Of Ecological Data written by Michael Greenacre and has been published by Fundacion BBVA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-09 with Ecology categories.
La diversidad biológica es fruto de la interacción entre numerosas especies, ya sean marinas, vegetales o animales, a la par que de los muchos factores limitantes que caracterizan el medio que habitan. El análisis multivariante utiliza las relaciones entre diferentes variables para ordenar los objetos de estudio según sus propiedades colectivas y luego clasificarlos; es decir, agrupar especies o ecosistemas en distintas clases compuestas cada una por entidades con propiedades parecidas. El fin último es relacionar la variabilidad biológica observada con las correspondientes características medioambientales. Multivariate Analysis of Ecological Data explica de manera completa y estructurada cómo analizar e interpretar los datos ecológicos observados sobre múltiples variables, tanto biológicos como medioambientales. Tras una introducción general a los datos ecológicos multivariantes y la metodología estadística, se abordan en capítulos específicos, métodos como aglomeración (clustering), regresión, biplots, escalado multidimensional, análisis de correspondencias (simple y canónico) y análisis log-ratio, con atención también a sus problemas de modelado y aspectos inferenciales. El libro plantea una serie de aplicaciones a datos reales derivados de investigaciones ecológicas, además de dos casos detallados que llevan al lector a apreciar los retos de análisis, interpretación y comunicación inherentes a los estudios a gran escala y los diseños complejos.
The Analysis Of Ecological Data Using R
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Author : Thomas C. Edwards
language : en
Publisher: Chapman & Hall/CRC
Release Date : 2008-07-01
The Analysis Of Ecological Data Using R written by Thomas C. Edwards and has been published by Chapman & Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-01 with Mathematics categories.
With an emphasis on experimental design and sampling, The Analysis of Ecological Data Using R presents all of the necessary statistical methods along with the ecological background for each problem. Establishing common themes, the text describes a statistical basis for each test with a discussion of when to use the test, the models involved, basic assumptions that can be made, and other related tests. Each example includes data characteristics and demonstrates the interpretation of results. The authors devote an entire chapter to different types of design, from simple to complex designs such as Nested and factorial designs. With exercises in each chapter, the book also provides explanations of all code covered in the book.
Ecological Statistics
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Author : Gordon A. Fox
language : en
Publisher: Oxford University Press
Release Date : 2015
Ecological Statistics written by Gordon A. Fox and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Science categories.
An intermediate level text covering foundational ideas in statistics and their ecological application, including generalized linear and generalized mixed-effect models, as well as models allowing for mixtures, spatial or phylogenetic correlations, missing or censored data, and observational data; implemented in R and set within a contemporary research framework.
Proceedings Of The Ecological Data Processing And Interpretation Workshop Victoria British Columbia November 1980
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Author : Mark Sondheim
language : en
Publisher: The Ministry
Release Date : 1981
Proceedings Of The Ecological Data Processing And Interpretation Workshop Victoria British Columbia November 1980 written by Mark Sondheim and has been published by The Ministry this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Ecology categories.
Multivariate Analysis Of Ecological Data Using Canoco
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Author : Jan Leps
language : en
Publisher:
Release Date : 2003
Multivariate Analysis Of Ecological Data Using Canoco written by Jan Leps and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Ecology categories.
Ecological Data
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Author : William K. Michener
language : en
Publisher: John Wiley & Sons
Release Date : 2009-04-01
Ecological Data written by William K. Michener and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-01 with Science categories.
Ecologists are increasingly tackling difficult issues like global change, loss of biodiversity and sustainability of ecosystem services. These and related topics are enormously challenging, requiring unprecedented multidisciplinary collaboration and rapid synthesis of large amounts of diverse data into information and ultimately knowledge. New sensors, computers, data collection and storage devices and analytical and statistical methods provide a powerful tool kit to support analyses, graphics and visualizations that were unthinkable even a few years ago. New and increased emphasis on accessibility, management, processing and sharing of high-quality, well-maintained and understandable data represents a significant change in how scientists view and treat data. These issues are complex and despite their importance, are typically not addressed in database, ecological and statistical textbooks. This book addresses these issues, providing a much needed resource for those involved in designing and implementing ecological research, as well as students who are entering the environmental sciences. Chapters focus on the design of ecological studies, data management principles, scientific databases, data quality assurance, data documentation, archiving ecological data and information and processing data into information and knowledge. The book stops short of a detailed treatment of data analysis, but does provide pointers to the relevant literature in graphics, statistics and knowledge discovery. The central thesis of the book is that high quality data management systems are critical for addressing future environmental challenges. This requires a new approach to how we conduct ecological research, that views data as a resource and promotes stewardship, recycling and sharing of data. Ecological Data will be particularly useful to those ecologists and information specialists that actively design, manage and analyze environmental databases. However, it will also benefit a wider audience of scientists and students in the ecological and environmental sciences.