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Author: Pedro F. Quintana Ascencio
Publisher: Cambridge Scholars Publishing
ISBN: 1527579530
Category : Science
Languages : en
Pages : 210
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Book Description
This book will allow naturalists, nature stewards, and graduate students to appreciate and comprehend basic statistical concepts as a bridge to more complex themes relevant to their daily work. Although there are excellent sources on more specialized analytical topics relevant to naturalists, this introductory book makes a connection with the experience and needs of field practitioners. It uses aspects of the natural history of the Florida scrub relevant for conservation and management as examples of analytical issues pertinent to the naturalist in a broader context. Each chapter identifies important ecological questions and then provides approaches to evaluate data, focusing on the analytical decision-making process. The book guides the reader on frequently overlooked aspects such as the understanding of model assumptions, alternative model specifications, model output interpretation, and model limitations.
Author: Pedro F. Quintana Ascencio
Publisher: Cambridge Scholars Publishing
ISBN: 1527579530
Category : Science
Languages : en
Pages : 210
Get Book
Book Description
This book will allow naturalists, nature stewards, and graduate students to appreciate and comprehend basic statistical concepts as a bridge to more complex themes relevant to their daily work. Although there are excellent sources on more specialized analytical topics relevant to naturalists, this introductory book makes a connection with the experience and needs of field practitioners. It uses aspects of the natural history of the Florida scrub relevant for conservation and management as examples of analytical issues pertinent to the naturalist in a broader context. Each chapter identifies important ecological questions and then provides approaches to evaluate data, focusing on the analytical decision-making process. The book guides the reader on frequently overlooked aspects such as the understanding of model assumptions, alternative model specifications, model output interpretation, and model limitations.
Author: Song S. Qian
Publisher: CRC Press
ISBN: 1498728731
Category : Mathematics
Languages : en
Pages : 560
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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.
Author: Mevin B. Hooten
Publisher: CRC Press
ISBN: 1466582154
Category : Mathematics
Languages : en
Pages : 306
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Book Description
The study of animal movement has always been a key element in ecological science, because it is inherently linked to critical processes that scale from individuals to populations and communities to ecosystems. Rapid improvements in biotelemetry data collection and processing technology have given rise to a variety of statistical methods for characterizing animal movement. The book serves as a comprehensive reference for the types of statistical models used to study individual-based animal movement. Animal Movement is an essential reference for wildlife biologists, quantitative ecologists, and statisticians who seek a deeper understanding of modern animal movement models. A wide variety of modeling approaches are reconciled in the book using a consistent notation. Models are organized into groups based on how they treat the underlying spatio-temporal process of movement. Connections among approaches are highlighted to allow the reader to form a broader view of animal movement analysis and its associations with traditional spatial and temporal statistical modeling. After an initial overview examining the role that animal movement plays in ecology, a primer on spatial and temporal statistics provides a solid foundation for the remainder of the book. Each subsequent chapter outlines a fundamental type of statistical model utilized in the contemporary analysis of telemetry data for animal movement inference. Descriptions begin with basic traditional forms and sequentially build up to general classes of models in each category. Important background and technical details for each class of model are provided, including spatial point process models, discrete-time dynamic models, and continuous-time stochastic process models. The book also covers the essential elements for how to accommodate multiple sources of uncertainty, such as location error and latent behavior states. In addition to thorough descriptions of animal movement models, differences and connections are also emphasized to provide a broader perspective of approaches.
Author: Nathalie Peyrard
Publisher: John Wiley & Sons
ISBN: 1789450470
Category : Social Science
Languages : en
Pages : 258
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Book Description
The study of ecological systems is often impeded by components that escape perfect observation, such as the trajectories of moving animals or the status of plant seed banks. These hidden components can be efficiently handled with statistical modeling by using hidden variables, which are often called latent variables. Notably, the hidden variables framework enables us to model an underlying interaction structure between variables (including random effects in regression models) and perform data clustering, which are useful tools in the analysis of ecological data. This book provides an introduction to hidden variables in ecology, through recent works on statistical modeling as well as on estimation in models with latent variables. All models are illustrated with ecological examples involving different types of latent variables at different scales of organization, from individuals to ecosystems. Readers have access to the data and R codes to facilitate understanding of the model and to adapt inference tools to their own data.
Author: Song S. Qian
Publisher: CRC Press
ISBN: 1498728758
Category : Mathematics
Languages : en
Pages : 439
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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.
Author: Eric Parent
Publisher: CRC Press
ISBN: 1584889209
Category : Mathematics
Languages : en
Pages : 427
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Book Description
Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources of data. It also helps readers get started on building their own statisti
Author: Matthew C. Bagger
Publisher: Columbia University Press
ISBN: 0231543859
Category : Religion
Languages : en
Pages : 377
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Book Description
Most contemporary philosophers would call themselves naturalists, yet there is little consensus on what naturalism entails. Long signifying the notion that science should inform philosophy, debates over naturalism often hinge on how broadly or narrowly the terms nature and science are defined. The founding figures of American Pragmatism—C. S. Peirce (1839–1914), William James (1842–1910), and John Dewey (1859–1952)—developed a distinctive variety of naturalism by rejecting reductive materialism and instead emphasizing social practices. Owing to this philosophical lineage, pragmatism has made original and insightful contributions to the study of religion as well as to political theory. In Pragmatism and Naturalism, distinguished scholars examine pragmatism’s distinctive form of nonreductive naturalism and consider its merits for the study of religion, democratic theory, and as a general philosophical orientation. Nancy Frankenberry, Philip Kitcher, Wayne Proudfoot, Jeffrey Stout, and others evaluate the contribution pragmatism can make to a viable naturalism, explore what distinguishes pragmatic naturalism from other naturalisms on offer, and address the pertinence of pragmatic naturalism to methodological issues in the study of religion. In parts dedicated to historical pragmatists, pragmatism in the philosophy and the study of religion, and pragmatism and democracy, they display the enduring power and contemporary relevance of pragmatic naturalism.
Author: Paul K. Moser
Publisher: Routledge
ISBN: 1134839332
Category : Philosophy
Languages : en
Pages : 406
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Book Description
Contemporary Materialism brings together the best recent work on materialism from many of our leading contemporary philosophers. This is the first comprehensive reader on the subject. The majority of philosophers and scientists today hold the view that all phenomena are physical, as a result materialism or 'physicalism' is now the dominant ontology in a wide range of fields. Surprisingly no single book, until now, has collected the key investigations into materialism, to reflect the impact it has had on current thinking in metaphysics, philosophy of mind and the theory of value. The classic papers in this collection chart contemporary problems, positions and themes in materialism. At the invitation of the editors, many of the papers have been specially up-dated for this collection: follow-on pieces written by the contributors enable them to appraise the original paper and assess developments since the work was first published. The book's selections are largely non-technical and accessible to advanced undergraduates. The editors have provided a useful general introduction, outlining and contextualising this central system of thought, as well as a topical bibliography. Contemporary Materialism will be vital reading for anyone concerned to discover the ideas underlying contemporary philosophy. David Armstrong, University of Sydney; Jerry Fodor, Rutgers University, New Jersey; Tim Crane, University College, London; D. H. Mellor, Univeristy of Cambridge; J.J.C.
Author: Noel Cressie
Publisher: John Wiley & Sons
ISBN: 1119243068
Category : Mathematics
Languages : en
Pages : 624
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Book Description
Winner of the 2013 DeGroot Prize. A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the latest computational methods Noel Cressie and Christopher K. Wikle, are also winners of the 2011 PROSE Award in the Mathematics category, for the book “Statistics for Spatio-Temporal Data” (2011), published by John Wiley and Sons. (The PROSE awards, for Professional and Scholarly Excellence, are given by the Association of American Publishers, the national trade association of the US book publishing industry.) Statistics for Spatio-Temporal Data has now been reprinted with small corrections to the text and the bibliography. The overall content and pagination of the new printing remains the same; the difference comes in the form of corrections to typographical errors, editing of incomplete and missing references, and some updated spatio-temporal interpretations. From understanding environmental processes and climate trends to developing new technologies for mapping public-health data and the spread of invasive-species, there is a high demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. Statistics for Spatio-Temporal Data presents a systematic approach to key quantitative techniques that incorporate the latest advances in statistical computing as well as hierarchical, particularly Bayesian, statistical modeling, with an emphasis on dynamical spatio-temporal models. Cressie and Wikle supply a unique presentation that incorporates ideas from the areas of time series and spatial statistics as well as stochastic processes. Beginning with separate treatments of temporal data and spatial data, the book combines these concepts to discuss spatio-temporal statistical methods for understanding complex processes. Topics of coverage include: Exploratory methods for spatio-temporal data, including visualization, spectral analysis, empirical orthogonal function analysis, and LISAs Spatio-temporal covariance functions, spatio-temporal kriging, and time series of spatial processes Development of hierarchical dynamical spatio-temporal models (DSTMs), with discussion of linear and nonlinear DSTMs and computational algorithms for their implementation Quantifying and exploring spatio-temporal variability in scientific applications, including case studies based on real-world environmental data Throughout the book, interesting applications demonstrate the relevance of the presented concepts. Vivid, full-color graphics emphasize the visual nature of the topic, and a related FTP site contains supplementary material. Statistics for Spatio-Temporal Data is an excellent book for a graduate-level course on spatio-temporal statistics. It is also a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.
Author: Dessy Seri Wahyuni
Publisher: European Alliance for Innovation
ISBN: 1631903837
Category : Education
Languages : en
Pages : 314
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Book Description
The 5th International Conference on Vocational Education and Technology is an international forum specially designed by the Faculty of Engineering and Vocational, Universitas Pendidikan Ganesha to bring together academics, researchers and professionals to present their ideas and experiences in a scientific event. IConVET 2022 welcomes paper submissions for innovative work from researchers from diverse backgrounds including students, teachers, researchers, practitioners and the general public in Education, Vocational and Technology. The IConVET-2022 theme is "Modern Education and Technology in Vocational”. The geographic diversity of our authors came from universities and institutions throughout Indonesia. We received whose full papers were further selected by outstanding reviewers from different institutions. We received a total of 50 submission of full papers and through a quite process, we finally accepted 30 papers for presentations and publish. Therefore, on behalf of the committee and the Research Institute of Universitas Pendidikan Ganesha. The success of the IConVET-2022 is due to the support of many people i.e. steering committee members, program committee members, organizing committee members, authors, presenters, participants, keynote speakers, student committee, and people in other various roles. We would like to thank them all.
