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Author: Hugh G. Gauch
Editor: Cambridge University Press
ISBN: 9780521282406
Size: 14,93 MB
Format: PDF, Docs
Read: 718
DownloadEditor: Cambridge University Press
ISBN: 9780521282406
Size: 14,93 MB
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A full description of computer-based methods of analysis used to define and solve ecological problems. Multivariate techniques permit summary of complex sets of data and allow investigation of many problems which cannot be tackled experimentally because of practical restraints.
Multivariate Analysis Of Ecological Communities
Author: P.G.N. Digby
Editor: Springer Science & Business Media
ISBN: 9400931352
Size: 10,59 MB
Format: PDF
Read: 278
DownloadEditor: Springer Science & Business Media
ISBN: 9400931352
Size: 10,59 MB
Format: PDF
Read: 278
Author: Petr Šmilauer
Editor: Cambridge University Press
ISBN: 110769440X
Size: 14,95 MB
Format: PDF, ePub
Read: 865
DownloadEditor: Cambridge University Press
ISBN: 110769440X
Size: 14,95 MB
Format: PDF, ePub
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An accessible introduction to the theory and practice of multivariate analysis for graduates, researchers and professionals dealing with ecological problems.
Multivariate Analysis Of Ecological Data Using Canoco
Author: Jan Lepš
Editor: Cambridge University Press
ISBN: 9780521891080
Size: 17,84 MB
Format: PDF, Docs
Read: 658
DownloadEditor: Cambridge University Press
ISBN: 9780521891080
Size: 17,84 MB
Format: PDF, Docs
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This book is primarily written for ecologists needing to analyse data resulting from field observations and experiments. It will be particularly useful for students and researchers dealing with complex ecological problems, such as the variation of biotic communities with environmental conditions or the response of biotic communities to experimental manipulation. Following a simple introduction to ordination methods, the text focuses on constrained ordination methods (RDA, CCA) and the use of permutation tests on statistical hypotheses of multivariate data. An overview of classification methods, or modern regression methods (GLM, GAM, loess), is provided and guidance on the correct interpretation of ordination diagrams is given. Seven case studies of varying difficulty help to illustrate the suggested analytical methods, using the Canoco for Windows software. The case studies utilise both the descriptive and manipulative approaches, and they are supported by data sets and project files available from the book website.
Author: Peter J. Morin
Editor: John Wiley & Sons
ISBN: 1444341944
Size: 15,21 MB
Format: PDF
Read: 870
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ISBN: 1444341944
Size: 15,21 MB
Format: PDF
Read: 870
All life on earth occurs in natural assemblages called communities. Community ecology is the study of patterns and processes involving these collections of two or more species. Communities are typically studied using a diversity of techniques, including observations of natural history, statistical descriptions of natural patterns, laboratory and field experiments, and mathematical modelling. Community patterns arise from a complex assortment of processes including competition, predation, mutualism, indirect effects, habitat selection, which result in the most complex biological entities on earth – including iconic systems such as rain forests and coral reefs. This book introduces the reader to a balanced coverage of concepts and theories central to community ecology, using examples drawn from terrestrial, freshwater, and marine systems, and focusing on animal, plant, and microbial species. The historical development of key concepts is described using descriptions of classic studies, while examples of exciting new developments in recent studies are used to point toward future advances in our understanding of community organization. Throughout, there is an emphasis on the crucial interplay between observations, experiments, and mathematical models. This second updated edition is a valuable resource for advanced undergraduates, graduate students, and established scientists who seek a broad overview of community ecology. The book has developed from a course in community ecology that has been taught by the author since 1983. Figures and tables can be downloaded for free from www.wiley.com/go/morin/communityecology
Monitoring With Lichens Monitoring Lichens
Author: Pier Luigi Nimis
Editor: Springer Science & Business Media
ISBN: 9401004234
Size: 14,38 MB
Format: PDF, Mobi
Read: 329
DownloadEditor: Springer Science & Business Media
ISBN: 9401004234
Size: 14,38 MB
Format: PDF, Mobi
Read: 329
A comprehensive, up-to-date review of lichens as biomonitors of air pollution (bioindication, metal and radionuclide accumulation, biomarkers), and as monitors of environmental change (including global climate change and biodiversity loss) in a wide array of terrestrial habitats. Several methods for using lichens as biomonitors are described in a special section of the book.
Author: Jean Thioulouse
Editor: Springer
ISBN: 1493988506
Size: 10,90 MB
Format: PDF, Kindle
Read: 548
DownloadEditor: Springer
ISBN: 1493988506
Size: 10,90 MB
Format: PDF, Kindle
Read: 548
This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems. These two goals may seem contradictory, as they concern two separate groups of scientists, namely statisticians and ecologists. However, statistical ecology has become a scientific discipline of its own, and the good use of multivariate data analysis methods by ecologists implies a fair knowledge of the mathematical properties of these methods. The organization of the book is based on ecological questions, but these questions correspond to particular classes of data analysis methods. The first chapters present both usual and multiway data analysis methods. Further chapters are dedicated for example to the analysis of spatial data, of phylogenetic structures, and of biodiversity patterns. One chapter deals with multivariate data analysis graphs. In each chapter, the basic mathematical definitions of the methods and the outputs of the R functions available in ade4 are detailed in two different boxes. The text of the book itself can be read independently from these boxes. Thus the book offers the opportunity to find information about the ecological situation from which a question raises alongside the mathematical properties of methods that can be applied to answer this question, as well as the details of software outputs. Each example and all the graphs in this book come with executable R code.
Survey Sampling And Multivariate Analysis For Social Scientists And Engineers
Author: Peter Robert Stopher
Editor:
ISBN:
Size: 12,44 MB
Format: PDF, Mobi
Read: 132
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ISBN:
Size: 12,44 MB
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Review of data needs and sources of error; Design of sampling procedures; Population estimates and sampling errors; Efficiency; Survey procedures; Bivariate regression; Multivariate regression; Simultaneous equations; Canonical correlation; Rudiments of factor analysis; Introduction to discriminant analysis; Maximum-likelihood estimation; Probit analysis; Logit analysis; The correlation; Ratio.
Author: G.P. Buckley
Editor: Springer Science & Business Media
ISBN: 9401123624
Size: 20,71 MB
Format: PDF
Read: 135
DownloadEditor: Springer Science & Business Media
ISBN: 9401123624
Size: 20,71 MB
Format: PDF
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Contributed to by leading experts, this book looks at the history of coppice woodlands, their physical environment, the different management techniques used and their effects on the flora and fauna. The implications of this for conservation is controversial and this is debated in a lively way in many of the chapters.
Community Ecology
Author: Mark Gardener
Editor: Pelagic Publishing Ltd
ISBN: 1907807632
Size: 20,37 MB
Format: PDF
Read: 847
DownloadEditor: Pelagic Publishing Ltd
ISBN: 1907807632
Size: 20,37 MB
Format: PDF
Read: 847
Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology. This is important to our understanding of the planets biological diversity and how species interactions relate to the functioning of ecosystems at all scales. Species do not live in isolation and the study of community ecology is of practical application in a wide range of conservation issues. The study of ecological community data involves many methods of analysis. In this book you will learn many of the mainstays of community analysis including: diversity, similarity and cluster analysis, ordination and multivariate analyses. This book is for undergraduate and postgraduate students and researchers seeking a step-by-step methodology for analysing plant and animal communities using R and Excel. Microsoft's Excel spreadsheet is virtually ubiquitous and familiar to most computer users. It is a robust program that makes an excellent storage and manipulation system for many kinds of data, including community data. The R program is a powerful and flexible analytical system able to conduct a huge variety of analytical methods, which means that the user only has to learn one program to address many research questions. Its other advantage is that it is open source and therefore completely free. Novel analytical methods are being added constantly to the already comprehensive suite of tools available in R. Mark Gardener is both an ecologist and an analyst. He has worked in a range of ecosystems around the world and has been involved in research across a spectrum of community types. His knowledge of R is largely self-taught and this gives him insight into the needs of students learning to use R for complicated analyses.Download Book Spatial Data Analysis In Ecology And Agriculture Using R in PDF format. You can Read Online Spatial Data Analysis In Ecology And Agriculture Using R here in PDF, EPUB, Mobi or Docx formats.
Spatial Data Analysis In Ecology And Agriculture Using R
Author :Richard E. PlantISBN :9781439819135
Genre :Mathematics
File Size : 49.85 MB
Format :PDF
Download :185
Read :325
Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. Written in terms of four data sets easily accessible online, this book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Based on the author’s spatial data analysis course at the University of California, Davis, the book is intended for classroom use or self-study by graduate students and researchers in ecology, geography, and agricultural science with an interest in the analysis of spatial data.
Spatial Data Analysis In Ecology And Agriculture Using R Second Edition
Author :Richard E. PlantISBN :9781351189903
Genre :Technology & Engineering
File Size : 46.2 MB
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Download :166
Read :1224
Key features: Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data. Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods Updates its coverage of R software including newly introduced packages Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Additional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.
Exam Prep For Spatial Data Analysis In Ecology And Agriculture Using R Second Edition
Author :Dave MasonISBN :
Genre :
Multivariate Analysis For Ecologists Step-by-step Pdf Book
File Size : 63.59 MBFormat :PDF, Docs
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Read :574
Ecological Statistics
Author :Gordon A. FoxISBN :9780191652882
Genre :Science
File Size : 48.43 MB
Format :PDF, ePub, Docs
Download :469
Read :638
The application and interpretation of statistics are central to ecological study and practice. Ecologists are now asking more sophisticated questions than in the past. These new questions, together with the continued growth of computing power and the availability of new software, have created a new generation of statistical techniques. These have resulted in major recent developments in both our understanding and practice of ecological statistics. This novel book synthesizes a number of these changes, addressing key approaches and issues that tend to be overlooked in other books such as missing/censored data, correlation structure of data, heterogeneous data, and complex causal relationships. These issues characterize a large proportion of ecological data, but most ecologists' training in traditional statistics simply does not provide them with adequate preparation to handle the associated challenges. Uniquely, Ecological Statistics highlights the underlying links among many statistical approaches that attempt to tackle these issues. In particular, it gives readers an introduction to approaches to inference, likelihoods, generalized linear (mixed) models, spatially or phylogenetically-structured data, and data synthesis, with a strong emphasis on conceptual understanding and subsequent application to data analysis. Written by a team of practicing ecologists, mathematical explanations have been kept to the minimum necessary. This user-friendly textbook will be suitable for graduate students, researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology who are interested in updating their statistical tool kits. A companion web site provides example data sets and commented code in the R language.
Numerical Ecology With R
Author :Daniel BorcardISBN :144197976X
Genre :Medical
File Size : 89.29 MB
Format :PDF, ePub
Download :606
Read :725
Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spatial analysis. All the necessary data files, the scripts used in the chapters, as well as the extra R functions and packages written by the authors, can be downloaded from a web page accessible through the Springer web site(http://adn.biol.umontreal.ca/~numericalecology/numecolR/). This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. The three authors teach numerical ecology, both theoretical and practical, to a wide array of audiences, in regular courses in their Universities and in short courses given around the world. Daniel Borcard is lecturer of Biostatistics and Ecology and researcher in Numerical Ecology at Université de Montréal, Québec, Canada. François Gillet is professor of Community Ecology and Ecological Modelling at Université de Franche-Comté, Besançon, France. Pierre Legendre is professor of Quantitative Biology and Ecology at Université de Montréal, Fellow of the Royal Society of Canada, and ISI Highly Cited Researcher in Ecology/Environment.
Quantitative Genetics In The Wild
Author :Anne CharmantierISBN :9780191655968
Genre :Science
File Size : 46.17 MB
Format :PDF, ePub
Download :564
Read :549
Although the field of quantitative genetics - the study of the genetic basis of variation in quantitative characteristics such as body size, or reproductive success - is almost 100 years old, its application to the study of evolutionary processes in wild populations has expanded greatly over the last few decades. During this time, the use of 'wild quantitative genetics' has provided insights into a range of important questions in evolutionary ecology, ranging from studies conducting research in well-established fields such as life-history theory, behavioural ecology and sexual selection, to others addressing relatively new issues such as populations' responses to climate change or the process of senescence in natural environments. Across these fields, there is increasing appreciation of the need to quantify the genetic - rather than just the phenotypic - basis and diversity of key traits, the genetic basis of the associations between traits, and the interaction between these genetic effects and the environment. This research activity has been fuelled by methodological advances in both molecular genetics and statistics, as well as by exciting results emerging from laboratory studies of evolutionary quantitative genetics, and the increasing availability of suitable long-term datasets collected in natural populations, especially in animals. Quantitative Genetics in the Wild is the first book to synthesize the current level of knowledge in this exciting and rapidly-expanding area. This comprehensive volume also offers exciting perspectives for future studies in emerging areas, including the application of quantitative genetics to plants or arthropods, unraveling the molecular basis of variation in quantitative traits, or estimating non-additive genetic variance. Since this book deals with many fundamental questions in evolutionary ecology, it should be of interest to graduate, post-graduate students, and academics from a wide array of fields such as animal behaviour, ecology, evolution, and genetics.
Data Analysis In Vegetation Ecology 3rd Edition
Author :Otto WildiISBN :9781786394224
Genre :Science
File Size : 49.47 MB
Format :PDF, ePub, Mobi
Download :270
Read :362
The 3rd edition of this popular textbook introduces the reader to the investigation of vegetation systems with an emphasis on data analysis. The book succinctly illustrates the various paths leading to high quality data suitable for pattern recognition, pattern testing, static and dynamic modelling and model testing including spatial and temporal aspects of ecosystems. Step-by-step introductions using small examples lead to more demanding approaches illustrated by real world examples aimed at explaining interpretations. All data sets and examples described in the book are available online and are written using the freely available statistical package R. This book will be of particular value to beginning graduate students and postdoctoral researchers of vegetation ecology, ecological data analysis, and ecological modelling, and experienced researchers needing a guide to new methods. A completely revised and updated edition of this popular introduction to data analysis in vegetation ecology. Includes practical step-by-step examples using the freely available statistical package R. Complex concepts and operations are explained using clear illustrations and case studies relating to real world phenomena. Emphasizes method selection rather than just giving a set of recipes.
Using R For Digital Soil Mapping
Author :Brendan P. MaloneISBN :9783319443270
Genre :Nature
File Size : 79.38 MB
Format :PDF, Mobi
Download :807
Read :1133
This book describes and provides many detailed examples of implementing Digital Soil Mapping (DSM) using R. The work adheres to Digital Soil Mapping theory, and presents a strong focus on how to apply it. DSM exercises are also included and cover procedures for handling and manipulating soil and spatial data in R. The book also introduces the basic concepts and practices for building spatial soil prediction functions, and then ultimately producing digital soil maps.
The Ecology Of Agricultural Landscapes
Author :Stephen K. HamiltonISBN :9780190266769
Genre :Science
File Size : 32.88 MB
Format :PDF, ePub, Docs
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Read :763
Evidence has been mounting for some time that intensive row-crop agriculture as practiced in developed countries may not be environmentally sustainable, with concerns increasingly being raised about climate change, implications for water quantity and quality, and soil degradation. This volume synthesizes two decades of research on the sustainability of temperate, row-crop ecosystems of the Midwestern United States. The overarching hypothesis guiding this work has been that more biologically based management practices could greatly reduce negative impacts while maintaining sufficient productivity to meet demands for food, fiber and fuel, but that roadblocks to their adoption persist because we lack a comprehensive understanding of their benefits and drawbacks. The research behind this book, based at the Kellogg Biological Station (Michigan State University) and conducted under the aegis of the Long-term Ecological Research network, is structured on a foundation of large-scale field experiments that explore alternatives to conventional, chemical-intensive agriculture. Studies have explored the biophysical underpinnings of crop productivity, the interactions of crop ecosystems with the hydrology and biodiversity of the broader landscapes in which they lie, farmers' views about alternative practices, economic valuation of ecosystem services, and global impacts such as greenhouse gas exchanges with the atmosphere. In contrast to most research projects, the long-term design of this research enables identification of slow or delayed processes of change in response to management regimes, and allows examination of responses across a broader range of climatic variability. This volume synthesizes this comprehensive inquiry into the ecology of alternative cropping systems, identifying future steps needed on the path to sustainability.
Ecology
Author :ISBN :UOM:39015042192487
Genre :Ecology
File Size : 84.43 MB
Format :PDF, ePub, Mobi
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E-Book Review and Description:KEY BENEFIT: For over 30 years, this textual content material has provided
school college students with the information they need to understand and apply
multivariate data analysis. Hair, et. al provides an
functions-oriented introduction to multivariate analysis for the
non-statistician. By reducing heavy statistical evaluation into
elementary concepts, the textual content material explains to school college students straightforward strategies to
understand and make use of the outcomes of specific statistical
strategies. On this seventh revision, the group of the
chapters has been tremendously simplified. New chapters have been added
on structural equations modeling, and all sections have been
updated to reflect advances in technology, performance, and
mathematical strategies.
KEY TOPICS: Preparing For a MV Analysis; Dependence
Strategies; Interdependence Strategies; Shifting Previous the Main
Strategies
MARKET: Statistics and statistical evaluation can
current managers with invaluable data. This textbook teaches them
the completely differing types of research that could be completed and the best way to use
the strategies inside the workplace.
[+] Read More..school college students with the information they need to understand and apply
multivariate data analysis. Hair, et. al provides an
functions-oriented introduction to multivariate analysis for the
non-statistician. By reducing heavy statistical evaluation into
elementary concepts, the textual content material explains to school college students straightforward strategies to
understand and make use of the outcomes of specific statistical
strategies. On this seventh revision, the group of the
chapters has been tremendously simplified. New chapters have been added
on structural equations modeling, and all sections have been
updated to reflect advances in technology, performance, and
mathematical strategies.
KEY TOPICS: Preparing For a MV Analysis; Dependence
Strategies; Interdependence Strategies; Shifting Previous the Main
Strategies
MARKET: Statistics and statistical evaluation can
current managers with invaluable data. This textbook teaches them
the completely differing types of research that could be completed and the best way to use
the strategies inside the workplace.
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While reading the eBooks, you need to favor to read big text. Normally, you will realize that the text of the eBook tends to be in moderate size. It is suggested to read the eBook with big text. So, raise the size of the text of the eBook while reading it on the monitor. Even though this may mean that you will have less text on each page and greater amount of page turning, you will manage to read your wanted eBook with great convenience and have an excellent reading experience with better eBook screen.It is suggested that never use eBook reader in full screen mode. It is recommended not to go for reading the eBook in fullscreen mode. Although it may seem simple to read with full-screen without turning the page of the eBook fairly often, it set lot of strain on your own eyes while reading in this mode. Consistently favor to read the eBook in exactly the same length that will be similar to the printed book. This really is so, because your eyes are used to the span of the printed book and it would be comfortable for you to read in the same way. Try out different shapes or sizes until you find one with which you'll be comfortable to read eBook.
By using different techniques of page turn you can additionally enhance your eBook experience. It's possible for you to try many methods to turn the pages of eBook to enhance your reading experience. Check out whether you can turn the page with some arrow keys or click a particular portion of the display, aside from using the mouse to handle everything. Prefer to make us of arrow keys if you are leaning forward. Try using the mouse if you are comfortable sitting back. Lesser the movement you have to make while reading the eBook better will be your reading experience.
Specialized issues One issue on eBook readers with LCD screens is the fact that it is not going to take long before you strain your eyes from reading. To help avoid this, you can use the “white on black” attribute of your iPad or similar features to other eBook readers. This will definitely help to make reading easier.
By using each one of these effective techniques, you can definitely boost your eBook reading experience to a fantastic extent. This advice will help you not only to prevent particular risks which you may face while reading eBook frequently but also facilitate you to take pleasure in the reading experience with great relaxation.
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