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Spatio Temporal Models For Ecologists
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Book Synopsis Spatio-Temporal Models for Ecologists by : James Thorson
Download or read book Spatio-Temporal Models for Ecologists written by James Thorson and published by CRC Press. This book was released on 2024-02-27 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological dynamics are tremendously complicated and are studied at a variety of spatial and temporal scales. Ecologists often simplify analysis by describing changes in density of individuals across a landscape, and statistical methods are advancing rapidly for studying spatio-temporal dynamics. However, spatio-temporal statistics is often presented using a set of principles that may seem very distant from ecological theory or practice. This book seeks to introduce a minimal set of principles and numerical techniques for spatio-temporal statistics that can be used to implement a wide range of real-world ecological analyses regarding animal movement, population dynamics, community composition, causal attribution, and spatial dynamics. We provide a step-by-step illustration of techniques that combine core spatial-analysis packages in R with low-level computation using Template Model Builder. Techniques are showcased using real-world data from varied ecological systems, providing a toolset for hierarchical modelling of spatio-temporal processes. Spatio-Temporal Models for Ecologists is meant for graduate level students, alongside applied and academic ecologists. Key Features: Foundational ecological principles and analyses Thoughtful and thorough ecological examples Analyses conducted using a minimal toolbox and fast computation Code using R and TMB included in the book and available online
Book Synopsis Spatio-temporal Models for Ecologists by : James T. Thorson
Download or read book Spatio-temporal Models for Ecologists written by James T. Thorson and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Ecological dynamics are tremendously complicated and are studied at a variety of spatial and temporal scales. Ecologists often simplify analysis by describing changes in density of individuals across a landscape, and statistical methods are advancing rapidly for studying spatio-temporal dynamics. However, spatio-temporal statistics is often presented using a set of principles that may seem very distant from ecological theory or practice. This book seeks to introduce a minimal set of principles and numerical techniques for spatio-temporal statistics that can be used to implement a wide range of real-world ecological analyses regarding animal movement, population dynamics, community composition, causal attribution, and spatial dynamics. We provide a step-by-step illustration of techniques that combine core spatial-analysis packages in R with low-level computation using Template Model Builder. Techniques are showcased using real-world data from varied ecological systems, providing a toolset for hierarchical modelling of spatio-temporal processes. Spatio-Temporal Models for Ecologists is meant for graduate level students, alongside applied and academic ecologists"--
Book Synopsis Spatio-Temporal Heterogeneity by : Pierre Dutilleul
Download or read book Spatio-Temporal Heterogeneity written by Pierre Dutilleul and published by Cambridge University Press. This book was released on 2011-05-26 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our living environment continuously changes in space and time. This book explains how to capture and assess these changes through the relevant statistical framework. It is a useful guide to students, teachers and researchers in the fields of biology, ecology and environmental science. Codes on the accompanying CD-ROM aid analyses.
Book Synopsis Modeling Spatiotemporal Dynamics in Ecology by : Jordi Bascompte
Download or read book Modeling Spatiotemporal Dynamics in Ecology written by Jordi Bascompte and published by Springer. This book was released on 1998 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Throughout its history, ecology has largely been a descriptive science. Scientists are in need of a theoretical framework that will assist in the understanding of observed patterns, and will serve as a predictive tool. Since ecological systems are dynamic and spatially extended, it is particularly important to understand the processes underlying spatiotemporal patterns. This book reviews one of the newest and most important areas of theoretical ecology: the study of spatiotemporal dynamics by means of a spatially explicit approximation that allows the investigation of the effects of real space.
Book Synopsis Spatial Ecology and Conservation Modeling by : Robert Fletcher
Download or read book Spatial Ecology and Conservation Modeling written by Robert Fletcher and published by Springer. This book was released on 2019-02-15 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a foundation for modern applied ecology. Much of current ecology research and conservation addresses problems across landscapes and regions, focusing on spatial patterns and processes. This book is aimed at teaching fundamental concepts and focuses on learning-by-doing through the use of examples with the software R. It is intended to provide an entry-level, easily accessible foundation for students and practitioners interested in spatial ecology and conservation.
Book Synopsis Spatial Analysis by : Mark R. T. Dale
Download or read book Spatial Analysis written by Mark R. T. Dale and published by Cambridge University Press. This book was released on 2014-09-11 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential guide for graduates, researchers and professionals to spatial analysis and the fast-growing range of methods available.
Book Synopsis Hierarchical Modelling for the Environmental Sciences by : James S. Clark
Download or read book Hierarchical Modelling for the Environmental Sciences written by James S. Clark and published by OUP Oxford. This book was released on 2006-05-04 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: New statistical tools are changing the ways in which scientists analyze and interpret data and models. Many of these are emerging as a result of the wide availability of inexpensive, high speed computational power. In particular, hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale. Nowhere are these methods more promising than in the environmental sciences. Models have developed rapidly, and there is now a requirement for a clear exposition of the methodology through to application for a range of environmental challenges.
Book Synopsis Spatial Linear Models for Environmental Data by : Dale L. Zimmerman
Download or read book Spatial Linear Models for Environmental Data written by Dale L. Zimmerman and published by CRC Press. This book was released on 2024-04-17 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many applied researchers equate spatial statistics with prediction or mapping, but this book naturally extends linear models, which includes regression and ANOVA as pillars of applied statistics, to achieve a more comprehensive treatment of the analysis of spatially autocorrelated data. Spatial Linear Models for Environmental Data, aimed at students and professionals with a master’s level training in statistics, presents a unique, applied, and thorough treatment of spatial linear models within a statistics framework. Two subfields, one called geostatistics and the other called areal or lattice models, are extensively covered. Zimmerman and Ver Hoef present topics clearly, using many examples and simulation studies to illustrate ideas. By mimicking their examples and R code, readers will be able to fit spatial linear models to their data and draw proper scientific conclusions. Topics covered include: Exploratory methods for spatial data including outlier detection, (semi)variograms, Moran’s I, and Geary’s c. Ordinary and generalized least squares regression methods and their application to spatial data. Suitable parametric models for the mean and covariance structure of geostatistical and areal data. Model-fitting, including inference methods for explanatory variables and likelihood-based methods for covariance parameters. Practical use of spatial linear models including prediction (kriging), spatial sampling, and spatial design of experiments for solving real world problems. All concepts are introduced in a natural order and illustrated throughout the book using four datasets. All analyses, tables, and figures are completely reproducible using open-source R code provided at a GitHub site. Exercises are given at the end of each chapter, with full solutions provided on an instructor’s FTP site supplied by the publisher.
Book Synopsis Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS by : Marc Kery
Download or read book Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS written by Marc Kery and published by Academic Press. This book was released on 2020-10-10 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and Advanced Models provides a synthesis of the state-of-the-art in hierarchical models for plant and animal distribution, also focusing on the complex and more advanced models currently available. The book explains all procedures in the context of hierarchical models that represent a unified approach to ecological research, thus taking the reader from design, through data collection, and into analyses using a very powerful way of synthesizing data. Makes ecological modeling accessible to people who are struggling to use complex or advanced modeling programs Synthesizes current ecological models and explains how they are inter-connected Contains numerous examples throughout the book, walking the reading through scenarios with both real and simulated data Provides an ideal resource for ecologists working in R software and in BUGS software for more flexible Bayesian analyses
Book Synopsis Spatial Ecology Patterns and Processes by : Vikas Rai
Download or read book Spatial Ecology Patterns and Processes written by Vikas Rai and published by Bentham Science Publishers. This book was released on 2013-04-25 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spacial Ecology elucidates processes and mechanisms which structure dynamics of real world systems; these include lakes, ponds, forests and rivers. Readers are introduced to contemporary models in ecological literature based on the author’s research experience. The e-book starts by presenting an introduction to basic mechanisms of ecological processes. This is followed by chapters explaining these processes responsible for generating observed spatial patterns in detail. The e-book concludes with a chapter on water quality management and its relevance to the spatial setting in a wetland area. This text in spatial ecology is a welcome resource for readers interested in models, methods and methodologies best suited for the study of advanced ecology courses and topics related to ecosystem structure, function and habitat fragmentation.
Book Synopsis Integrodifference Equations in Spatial Ecology by : Frithjof Lutscher
Download or read book Integrodifference Equations in Spatial Ecology written by Frithjof Lutscher and published by Springer Nature. This book was released on 2019-10-30 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first thorough introduction to and comprehensive treatment of the theory and applications of integrodifference equations in spatial ecology. Integrodifference equations are discrete-time continuous-space dynamical systems describing the spatio-temporal dynamics of one or more populations. The book contains step-by-step model construction, explicitly solvable models, abstract theory and numerical recipes for integrodifference equations. The theory in the book is motivated and illustrated by many examples from conservation biology, biological invasions, pattern formation and other areas. In this way, the book conveys the more general message that bringing mathematical approaches and ecological questions together can generate novel insights into applications and fruitful challenges that spur future theoretical developments. The book is suitable for graduate students and experienced researchers in mathematical ecology alike.
Book Synopsis Handbook of Spatial Point-Pattern Analysis in Ecology by : Thorsten Wiegand
Download or read book Handbook of Spatial Point-Pattern Analysis in Ecology written by Thorsten Wiegand and published by CRC Press. This book was released on 2013-12-20 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand How to Analyze and Interpret Information in Ecological Point PatternsAlthough numerous statistical methods for analyzing spatial point patterns have been available for several decades, they haven't been extensively applied in an ecological context. Addressing this gap, Handbook of Spatial Point-Pattern Analysis in Ecology shows how the t
Book Synopsis Metacommunity Spatio-Temporal Dynamics: Conservation and Management Implications by : Pedro Giovâni Da Silva
Download or read book Metacommunity Spatio-Temporal Dynamics: Conservation and Management Implications written by Pedro Giovâni Da Silva and published by Frontiers Media SA. This book was released on 2021-05-18 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Models for Ecological Data by : James S. Clark
Download or read book Models for Ecological Data written by James S. Clark and published by Princeton University Press. This book was released on 2020-10-06 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: The environmental sciences are undergoing a revolution in the use of models and data. Facing ecological data sets of unprecedented size and complexity, environmental scientists are struggling to understand and exploit powerful new statistical tools for making sense of ecological processes. In Models for Ecological Data, James Clark introduces ecologists to these modern methods in modeling and computation. Assuming only basic courses in calculus and statistics, the text introduces readers to basic maximum likelihood and then works up to more advanced topics in Bayesian modeling and computation. Clark covers both classical statistical approaches and powerful new computational tools and describes how complexity can motivate a shift from classical to Bayesian methods. Through an available lab manual, the book introduces readers to the practical work of data modeling and computation in the language R. Based on a successful course at Duke University and National Science Foundation-funded institutes on hierarchical modeling, Models for Ecological Data will enable ecologists and other environmental scientists to develop useful models that make sense of ecological data. Consistent treatment from classical to modern Bayes Underlying distribution theory to algorithm development Many examples and applications Does not assume statistical background Extensive supporting appendixes Lab manual in R is available separately
Book Synopsis Habitat Suitability and Distribution Models by : Antoine Guisan
Download or read book Habitat Suitability and Distribution Models written by Antoine Guisan and published by Cambridge University Press. This book was released on 2017-09-14 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting future patterns of species and biodiversity. Beginning with the main theory behind ecological niches and species distributions, the book proceeds through all major steps of model building, from conceptualization and model training to model evaluation and spatio-temporal predictions. Extensive examples using R support graduate students and researchers in quantifying ecological niches and predicting species distributions with their own data, and help to address key environmental and conservation problems. Reflecting this highly active field of research, the book incorporates the latest developments from informatics and statistics, as well as using data from remote sources such as satellite imagery. A website at www.unil.ch/hsdm contains the codes and supporting material required to run the examples and teach courses.
Book Synopsis Community Ecology by : Herman A. Verhoef
Download or read book Community Ecology written by Herman A. Verhoef and published by Oxford University Press. This book was released on 2010 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an up-to-date study of patterns and processes involving two or more species. The book strikes a balance between plant and animal species and among studies of marine, freshwater and terrestrial communities.
Book Synopsis Integrated Population Models by : Michael Schaub
Download or read book Integrated Population Models written by Michael Schaub and published by Academic Press. This book was released on 2021-11-12 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis. Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields. The text is ideal for self-study and advanced graduate-level courses. Offers practical and accessible ecological applications of IPMs (integrated population models) Provides full documentation of analyzed code in the Bayesian framework Written and structured for an easy approach to the subject, especially for non-statisticians
