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Introduction to Ecological Sampling

Introduction to Ecological Sampling PDF Author: Bryan F.J. Manly
Publisher: CRC Press
ISBN: 1466555149
Category : Mathematics
Languages : en
Pages : 230

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Book Description
An Easy-to-Understand Treatment of Ecological Sampling Methods and Data Analysis Including only the necessary mathematical derivations, Introduction to Ecological Sampling shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditional sampling methods and recent developments in environmental and ecological sampling methods. After an introduction, the book presents standard sampling methods and analyses. Subsequent chapters delve into specialized topics written by well-known researchers. These chapters cover adaptive sampling methods, line transect sampling, removal and change-in-ratio methods, plotless sampling, mark-recapture sampling of closed and open populations, occupancy models, sampling designs for environmental modeling, and trend analysis. The book explains the methods as simply as possible, keeping equations and their derivations to a minimum. It provides references to important, more advanced sampling methods and analyses. It also directs readers to computer programs that can be used to perform the analyses. Accessible to biologists, the text only assumes a basic knowledge of statistical methods. It is suitable for an introductory course on methods for collecting and analyzing ecological and environmental data.

Introduction to Ecological Sampling

Introduction to Ecological Sampling PDF Author: Bryan F.J. Manly
Publisher: CRC Press
ISBN: 1466555149
Category : Mathematics
Languages : en
Pages : 230

View

Book Description
An Easy-to-Understand Treatment of Ecological Sampling Methods and Data Analysis Including only the necessary mathematical derivations, Introduction to Ecological Sampling shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditional sampling methods and recent developments in environmental and ecological sampling methods. After an introduction, the book presents standard sampling methods and analyses. Subsequent chapters delve into specialized topics written by well-known researchers. These chapters cover adaptive sampling methods, line transect sampling, removal and change-in-ratio methods, plotless sampling, mark-recapture sampling of closed and open populations, occupancy models, sampling designs for environmental modeling, and trend analysis. The book explains the methods as simply as possible, keeping equations and their derivations to a minimum. It provides references to important, more advanced sampling methods and analyses. It also directs readers to computer programs that can be used to perform the analyses. Accessible to biologists, the text only assumes a basic knowledge of statistical methods. It is suitable for an introductory course on methods for collecting and analyzing ecological and environmental data.

Sampling Theory

Sampling Theory PDF Author: David Hankin
Publisher: Oxford University Press, USA
ISBN: 0198815794
Category : Mathematics
Languages : en
Pages : 360

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Book Description
Sampling theory considers how methods for selection of a subset of units from a finite population (a sample) affect the accuracy of estimates of descriptive population parameters (mean, total, proportion). Although a sound knowledge of sampling theory principles would seem essential for ecologists and natural resource scientists, the subject tends to be somewhat overlooked in contrast to other core statistical topics such as regression analysis, experimental design, and multivariate statistics. This introductory text aims to redress this imbalance by specifically targeting ecologists and resource scientists, and illustrating how sampling theory can be applied in a wide variety of resource contexts. The emphasis throughout is on design-based sampling from finite populations, but some attention is given to model-based prediction and sampling from infinite populations.

Environmental and Ecological Statistics with R

Environmental and Ecological Statistics with R PDF Author: Song S. Qian
Publisher: CRC Press
ISBN: 1498728731
Category : Mathematics
Languages : en
Pages : 536

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Book Description
Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the approach to solving a statistical problem, covering model specification, parameter estimation, and model evaluation. It includes many examples to illustrate the statistical methods and presents R code for their implementation. The emphasis is on model interpretation and assessment, and using several core examples throughout the book, the author illustrates the iterative nature of statistical inference. The book starts with a description of commonly used statistical assumptions and exploratory data analysis tools for the verification of these assumptions. It then focuses on the process of building suitable statistical models, including linear and nonlinear models, classification and regression trees, generalized linear models, and multilevel models. It also discusses the use of simulation for model checking, and provides tools for a critical assessment of the developed models. The second edition also includes a complete critique of a threshold model. Environmental and Ecological Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers through the process of scientific problem solving and statistical model development, it eases the transition from scientific hypothesis to statistical model.

Using the Biological Literature

Using the Biological Literature PDF Author: Diane Schmidt
Publisher: CRC Press
ISBN: 1466558571
Category : Language Arts & Disciplines
Languages : en
Pages : 414

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Book Description
The biological sciences cover a broad array of literature types, from younger fields like molecular biology with its reliance on recent journal articles, genomic databases, and protocol manuals to classic fields such as taxonomy with its scattered literature found in monographs and journals from the past three centuries. Using the Biological Literature: A Practical Guide, Fourth Edition is an annotated guide to selected resources in the biological sciences, presenting a wide-ranging list of important sources. This completely revised edition contains numerous new resources and descriptions of all entries including textbooks. The guide emphasizes current materials in the English language and includes retrospective references for historical perspective and to provide access to the taxonomic literature. It covers both print and electronic resources including monographs, journals, databases, indexes and abstracting tools, websites, and associations—providing users with listings of authoritative informational resources of both classical and recently published works. With chapters devoted to each of the main fields in the basic biological sciences, this book offers a guide to the best and most up-to-date resources in biology. It is appropriate for anyone interested in searching the biological literature, from undergraduate students to faculty, researchers, and librarians. The guide includes a supplementary website dedicated to keeping URLs of electronic and web-based resources up to date, a popular feature continued from the third edition.

Logistics of ecological sampling on large rivers

Logistics of ecological sampling on large rivers PDF Author:
Publisher: DIANE Publishing
ISBN: 1428905553
Category :
Languages : en
Pages :

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Book Description


Bayesian Applications in Environmental and Ecological Studies with R and Stan

Bayesian Applications in Environmental and Ecological Studies with R and Stan PDF Author: Song S. Qian
Publisher: CRC Press
ISBN: 1351018760
Category : Mathematics
Languages : en
Pages : 419

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Book Description
Modern ecological and environmental sciences are dominated by observational data. As a result, traditional statistical training often leaves scientists ill-prepared for the data analysis tasks they encounter in their work. Bayesian methods provide a more robust and flexible tool for data analysis, as they enable information from different sources to be brought into the modelling process. Bayesian Applications in Evnironmental and Ecological Studies with R and Stan provides a Bayesian framework for model formulation, parameter estimation, and model evaluation in the context of analyzing environmental and ecological data. Features • An accessible overview of Bayesian methods in environmental and ecological studies • Emphasizes the hypothetical deductive process, particularly model formulation • Necessary background material on Bayesian inference and Monte Carlo simulation • Detailed case studies, covering water quality monitoring and assessment, ecosystem response to urbanization, fisheries ecology, and more • Advanced chapter on Bayesian applications, including Bayesian networks and a change point model • Complete code for all examples, along with the data used in the book, are available via GitHub The book is primarily aimed at graduate students and researchers in the environmental and ecological sciences, as well as environmental management professionals. This is a group of people representing diverse subject matter fields, who could benefit from the potential power and flexibility of Bayesian methods.

Ubiquitous Technologies for Human Development and Knowledge Management

Ubiquitous Technologies for Human Development and Knowledge Management PDF Author: Rahman, Hakikur
Publisher: IGI Global
ISBN: 1799878465
Category : Business & Economics
Languages : en
Pages : 396

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Book Description
In recent decades, digital technologies have permeated daily routines, whether at school, at work, or during personal engagements. Stakeholders in education are promoting innovative pedagogical practices, the business sector is utilizing updated processes. Even the public is improving their lifestyles by utilizing innovative technology. In a knowledge construction setting, technology becomes a tool to assist the user to access information, communicate information, and collaborate with others towards human development and knowledge management. In this context, ubiquitous computing has emerged to support humans in their daily life activities in a personal, unattended, and remote manner. Ubiquitous Technologies for Human Development and Knowledge Management serves as an authoritative reference source for the latest scholarly research on the widespread incorporation of technological innovations around the globe. It examines how the application of ubiquitous computing technologies affects various aspects of human lives, specifically in human development and knowledge management. The chapters demonstrate how these ubiquitous technologies, networks, and associated systems have proliferated and have woven themselves into the very framework of everyday life. It covers categorized investigations ranging from e-governance, knowledge management, ICTs, public services, innovation, and ethics. This book is essential for ICT specialists, technologists, teachers, instructional designers, practitioners, researchers, academicians, and students interested in the latest technologies and how they are impacting human development and knowledge management across different disciplines.

Monitoring Ecological Change

Monitoring Ecological Change PDF Author: Ian F. Spellerberg
Publisher: Cambridge University Press
ISBN: 9780521424073
Category : Nature
Languages : en
Pages : 352

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Book Description
Living communities are continuously changing, both as a result of natural processes and of human activities. It is essential for us to have effective biological and ecological monitoring programs in order to detect these changes and understand the factors that influence them. In the first part of the book, the roles of local, national, and international organizations that implement monitoring programs are discussed and assessed. In the second section of the book, a wide range of examples are used to explain and evaluate methods of data collection, analysis, and interpretation. The final section focuses on the important applications of biological monitoring, such as pollution control, land-use management, monitoring rare species, and post-environmental impact assessment.

Ecology - Volume II

Ecology - Volume II PDF Author: Antonio Bodini
Publisher: EOLSS Publications
ISBN: 1848262914
Category :
Languages : en
Pages : 428

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Book Description
Ecology is a component of Encyclopedia of Environmental and Ecological Sciences, Engineering and Technology Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Ecology is the study of the interrelationships between living organisms and their environment. The term "ecology" was introduced by Ernst Haeckel, at the end of the nineteenth century. Since that time spectacular advances have been made. Much has been learned about the relationship between organisms and environmental factors, and about the processes that regulate the abundance and distribution of species. The Theme on Ecology with contributions from distinguished experts in the field discusses the Science of Ecology for a Sustainable World. The two volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.

Bringing Bayesian Models to Life

Bringing Bayesian Models to Life PDF Author: Mevin B. Hooten
Publisher: CRC Press
ISBN: 0429516800
Category : Mathematics
Languages : en
Pages : 426

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Book Description
Bringing Bayesian Models to Life empowers the reader to extend, enhance, and implement statistical models for ecological and environmental data analysis. We open the black box and show the reader how to connect modern statistical models to computer algorithms. These algorithms allow the user to fit models that answer their scientific questions without needing to rely on automated Bayesian software. We show how to handcraft statistical models that are useful in ecological and environmental science including: linear and generalized linear models, spatial and time series models, occupancy and capture-recapture models, animal movement models, spatio-temporal models, and integrated population-models. Features: R code implementing algorithms to fit Bayesian models using real and simulated data examples. A comprehensive review of statistical models commonly used in ecological and environmental science. Overview of Bayesian computational methods such as importance sampling, MCMC, and HMC. Derivations of the necessary components to construct statistical algorithms from scratch. Bringing Bayesian Models to Life contains a comprehensive treatment of models and associated algorithms for fitting the models to data. We provide detailed and annotated R code in each chapter and apply it to fit each model we present to either real or simulated data for instructional purposes. Our code shows how to create every result and figure in the book so that readers can use and modify it for their own analyses. We provide all code and data in an organized set of directories available at the authors' websites.