Biometry For Forestry And Environmental Data
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Biometry For Forestry And Environmental Data
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Author : Lauri Mehtatalo
language : en
Publisher: CRC Press
Release Date : 2020-05-27
Biometry For Forestry And Environmental Data written by Lauri Mehtatalo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-27 with Mathematics categories.
Biometry for Forestry and Environmental Data with Examples in R focuses on statistical methods that are widely applicable in forestry and environmental sciences, but it also includes material that is of wider interest. Features: · Describes the theory and applications of selected statistical methods and illustrates their use and basic concepts through examples with forestry and environmental data in R. · Rigorous but easily accessible presentation of the linear, nonlinear, generalized linear and multivariate models, and their mixed-effects counterparts. Chapters on tree size, tree taper, measurement errors, and forest experiments are also included. · Necessary statistical theory about random variables, estimation and prediction is included. The wide applicability of the linear prediction theory is emphasized. · The hands-on examples with implementations using R make it easier for non-statisticians to understand the concepts and apply the methods with their own data. Lot of additional material is available at www.biombook.org. The book is aimed at students and researchers in forestry and environmental studies, but it will also be of interest to statisticians and researchers in other fields as well.
Spatial Linear Models For Environmental Data
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Author : Dale L. Zimmerman
language : en
Publisher: CRC Press
Release Date : 2024-04-17
Spatial Linear Models For Environmental Data written by Dale L. Zimmerman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-17 with Mathematics categories.
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.
Bayesian Applications In Environmental And Ecological Studies With R And Stan
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Author : Song S. Qian
language : en
Publisher: CRC Press
Release Date : 2022-08-29
Bayesian Applications In Environmental And Ecological Studies With R And Stan written by Song S. Qian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-29 with Mathematics categories.
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.
Statistical Methods And Applications In Forestry And Environmental Sciences
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Author : Girish Chandra
language : en
Publisher: Springer Nature
Release Date : 2020-01-04
Statistical Methods And Applications In Forestry And Environmental Sciences written by Girish Chandra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-04 with Medical categories.
This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India. The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica.
Spatio Temporal Models For Ecologists
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Author : James Thorson
language : en
Publisher: CRC Press
Release Date : 2024-02-27
Spatio Temporal Models For Ecologists written by James Thorson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-27 with Mathematics categories.
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
Learn R
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Author : Pedro J. Aphalo
language : en
Publisher: CRC Press
Release Date : 2024-04-26
Learn R written by Pedro J. Aphalo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Computers categories.
Learning a computer language like R can be either frustrating, fun or boring. Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward for overcoming them. The book is designed so that it includes smaller and bigger challenges, in what I call playgrounds, in the hope that all readers will enjoy their path to R fluency. Fluency in the use of a language is a skill that is acquired through practice and exploration. For students and professionals in the biological sciences, humanities and many applied fields, recognizing the parallels between R and natural languages should help them feel at home with R. The approach I use is similar to that of a travel guide, encouraging exploration and describing the available alternatives and how to reach them. The intention is to guide the reader through the R landscape of 2024 and beyond. What is new in the second edition? Text expanded by more than 25% to include additional R features and gentler and more detailed explanations Contains 24 new diagrams and flowcharts, seven new tables, and revised text and code examples for clarity All three indexes were expanded, and answers to 28 frequently asked questions added What will you find in this book? Programming concepts explained as they apply to current R Emphasis on the role of abstractions in programming Few prescriptive rules—mostly the author’s preferences together with alternatives Presentation of the R language emphasizing the “R way of doing things” Tutoring for “programming in the small” using scripts for data analysis Explanation of the differences between R proper and extensions for data wrangling The grammar of graphics is described as a language for the construction of data visualisations Examples of data exchange between R and the foreign world using common file formats Coaching to become an independent R user, capable of writing original scripts and solving future challenges
Forest Mensuration
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Author : Anthonie van Laar
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-20
Forest Mensuration written by Anthonie van Laar and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-20 with Technology & Engineering categories.
Forest mensuration is one of the most fundamental disciplines within forest and related sciences. It deals with the measurement of trees and stands and the analysis of the resultant information. During the early days of sustained forest management simple measurement and estimation methods and with the analysis of inventory and research data were available. The middle of last c- tury, however, witnessed a worldwide increase in the need for more quan- tative information about trees and stands. This generated the need for more sophisticated methods to obtain and analyze forest data. This development was followed by a phenomenal explosion of information. During the past decades there has been fruitful cooperation between the Institute of Forest Inventory and Forest Growth, formerly “Institute of Forest Management and Forest Yield Sciences” of the University of Gottingen, ̈ Germany and the Faculty of Forestry of the University of Stellenbosch, South Africa. This book is one of the results of this fruitful cooperation between these institutions.
Modelling Forest Systems
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Author : A. Amaro
language : en
Publisher: CABI
Release Date : 2003-01-01
Modelling Forest Systems written by A. Amaro and has been published by CABI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-01 with Science categories.
There are many theoretical approaches to modelling forest systems, but not all of them have valid practical applications. This book reviews current thinking on various models and presents applications in various contexts. Papers have been selected and developed from those presented at aworkshop held in Portugal in June 2002. Topics covered include: Forest reality and modelling strategies Mathematical approaches and reasoning Estimation processes Models, validation and decision under uncertainty Model archives and metadata
Continuous Cover Forestry In Boreal Nordic Countries
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Author : Pasi Rautio
language : en
Publisher: Springer Nature
Release Date : 2024-12-05
Continuous Cover Forestry In Boreal Nordic Countries written by Pasi Rautio and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-05 with Technology & Engineering categories.
This open access book compiles the latest research on continuous cover forestry in boreal forests, highlighting both the need for additional information and the exciting possibilities that this method presents. Experts in the field explore topics such as forest regeneration, genetic effects, wood production and yield, wood harvesting, forest damage agents, biodiversity, water effects, carbon cycles of forests, economics, forest planning methods, multiple uses of forests, and forest owners' attitudes. As the world faces increasing pressure to balance the multiple goals of forest management, including raw material production, carbon sequestration, biodiversity, and climate change adaptation, it is becoming clear that different forest management methods are required. Even-aged forest management is well-researched, but continuous forest management is a newer and rapidly evolving approach that is gaining popularity in boreal forests. While an overall synthesis of the subject is not yet possible, this book provides an essential foundation for understanding the current state of continuous cover forestry in boreal forests. With the new research data being accumulated all the time, this book is an invaluable resource for researchers, policymakers, and forest managers who want to stay up-to-date on this important topic.
Forest Biometrics
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Author : Michail Prodan
language : en
Publisher: Pergamon
Release Date : 1968
Forest Biometrics written by Michail Prodan and has been published by Pergamon this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Biometry categories.
Mathematical aids. Statistical surveys. Frequency distributions. Concepts and examples. Measures of central tendency. Measures of dispersion and variation. Errors caused by the grouping of observation into classes. Calculation of probability. Derivation of the exponential law. Calculation of the normal distribution. The distribution of rare events (Poisson distribution). Generalized frequency distribution. Statistical comparisons. Sample distributions. The analysis of variance. Sample surveys. The planning of experiments. The calculation of correlation and regression. Curve fitting by orthogonal polynomials. Fitting of regressions subject to periodic variation. Multiple regression and correlation. Growth functions. Methods and terminology of economic statistics. Time series. Brief introduction to linear programming.