Statistics In Natural Resources

Author : Matthew Russell
Publisher : CRC Press
Page : 333 pages
File Size : 43,9 Mb
Release : 2022-08-19
Category : Science
ISBN : 9781000637892

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Statistics in Natural Resources by Matthew Russell Pdf

To manage our environment sustainably, professionals must understand the quality and quantity of our natural resources. Statistical analysis provides information that supports management decisions and is universally used across scientific disciplines. Statistics in Natural Resources: Applications with R focuses on the application of statistical analyses in the environmental, agricultural, and natural resources disciplines. This is a book well suited for current or aspiring natural resource professionals who are required to analyze data and perform statistical analyses in their daily work. More seasoned professionals who have previously had a course or two in statistics will also find the content familiar. This text can also serve as a bridge between professionals who understand statistics and want to learn how to perform analyses on natural resources data in R. The primary goal of this book is to learn and apply common statistical methods used in natural resources by using the R programming language. If you dedicate considerable time to this book, you will: Develop analytical and visualization skills for investigating the behavior of agricultural and natural resources data. Become competent in importing, analyzing, and visualizing complex data sets in the R environment. Recode, combine, and restructure data sets for statistical analysis and visualization. Appreciate probability concepts as they apply to environmental problems. Understand common distributions used in statistical applications and inference. Summarize data effectively and efficiently for reporting purposes. Learn the tasks required to perform a variety of statistical hypothesis tests and interpret their results. Understand which modeling frameworks are appropriate for your data and how to interpret predictions. Includes over 130 exercises in R, with solutions available on the book’s website.

Author : Roger Stern
Publisher : CABI
Page : 410 pages
File Size : 46,9 Mb
Release : 2004
Category : Science
ISBN : 9780851997223

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Good Statistical Practice for Natural Resources Research by Roger Stern Pdf

Part 1: Introduction Chapter 1: What is Natural Resources Research? Chapter 2: At Least Read This. Chapter 3: Sidetracks Part 2: Planning Chapter 4: Introduction to Research Planning Chapter 5: Concepts Underlying Experiments Chapter 6: Sampling Concepts Chapter 7: Surveys and Studies of Human Subjects Chapter 8: Surveying Land and Natural Populations Chapter 9: Planning Effective Experiments Part 3: Data Management Chapter 10: Data Management Issues and Problems Chapter 11: Use of Spreadsheet Packages Chapter 12: The Role of a Database Package Chapter 13: Developing a Data Management Strategy Chapter 14: Use of Statistical Software Part 4: Analysis Chapter 15: Analysis - Aims and Approaches Chapter 16: The DIY Toolbox - General Ideas 16.1 Opening the Toolbox 221 Chapter 17: Analysis of Survey Data Chapter 18: Analysis of Experimental Data Chapter 19: General Linear Models Chapter 20: The Craftsman's Toolbox Chapter 21: Informative Presentation of Tables, Graphs and Statistics Part 5: Where Next? Chapter 22: Current Trends and their Implications for Good Practice Chapter 23: Resources and Further Reading.

Author : Resources for the Future,Neal Potter,Francis T. Christy
Publisher : Unknown
Page : 568 pages
File Size : 46,8 Mb
Release : 1962
Category : Electronic
ISBN : OCLC:869443244

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Trends in Natural Resource Commodities by Resources for the Future,Neal Potter,Francis T. Christy Pdf

Author : Matthew Russell
Publisher : CRC Press
Page : 355 pages
File Size : 49,9 Mb
Release : 2022-08-19
Category : Technology & Engineering
ISBN : 9781000637885

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Statistics in Natural Resources by Matthew Russell Pdf

To manage our environment sustainably, professionals must understand the quality and quantity of our natural resources. Statistical analysis provides information that supports management decisions and is universally used across scientific disciplines. Statistics in Natural Resources: Applications with R focuses on the application of statistical analyses in the environmental, agricultural, and natural resources disciplines. This is a book well suited for current or aspiring natural resource professionals who are required to analyze data and perform statistical analyses in their daily work. More seasoned professionals who have previously had a course or two in statistics will also find the content familiar. This text can also serve as a bridge between professionals who understand statistics and want to learn how to perform analyses on natural resources data in R. The primary goal of this book is to learn and apply common statistical methods used in natural resources by using the R programming language. If you dedicate considerable time to this book, you will: Develop analytical and visualization skills for investigating the behavior of agricultural and natural resources data. Become competent in importing, analyzing, and visualizing complex data sets in the R environment. Recode, combine, and restructure data sets for statistical analysis and visualization. Appreciate probability concepts as they apply to environmental problems. Understand common distributions used in statistical applications and inference. Summarize data effectively and efficiently for reporting purposes. Learn the tasks required to perform a variety of statistical hypothesis tests and interpret their results. Understand which modeling frameworks are appropriate for your data and how to interpret predictions. Includes over 130 exercises in R, with solutions available on the book’s website.

Author : Resources for the Future,Neal Potter,Francis T. Christy
Publisher : Unknown
Page : 592 pages
File Size : 53,6 Mb
Release : 1962
Category : Business & Economics
ISBN : UOM:39015035072639

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Trends in Natural Resource Commodities by Resources for the Future,Neal Potter,Francis T. Christy Pdf

Of the trends : Introduction -- Highlights of the data -- Summaries for principal commodities -- Statistical tables : Notes on data and procedure -- List of abbreviated references -- Tabular contents -- Serial list of tables -- Tables.

Author : G. P. Obi Reddy,Mehul S. Raval,J. Adinarayana,Sanjay Chaudhary
Publisher : Springer Nature
Page : 326 pages
File Size : 47,9 Mb
Release : 2021-10-11
Category : Technology & Engineering
ISBN : 9789811658471

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Data Science in Agriculture and Natural Resource Management by G. P. Obi Reddy,Mehul S. Raval,J. Adinarayana,Sanjay Chaudhary Pdf

This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the needs of geospatial, data science, agricultural, natural resources and environmental sciences of traditional universities, agricultural universities, technological universities, research institutes and academic colleges worldwide. It will help the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems.

Author : Robert S. Manthy
Publisher : Johns Hopkins University Press
Page : 264 pages
File Size : 47,6 Mb
Release : 1978
Category : Business & Economics
ISBN : STANFORD:36105001900732

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Natural Resource Commodities--A Century of Statistics by Robert S. Manthy Pdf

Author : Neal Potter,Francis T. Christy
Publisher : Unknown
Page : 128 pages
File Size : 42,6 Mb
Release : 1982
Category : Electronic
ISBN : OCLC:473338025

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Trends in Natural Resource Commodities by Neal Potter,Francis T. Christy Pdf

Author : Howard B. Stauffer
Publisher : John Wiley & Sons
Page : 418 pages
File Size : 46,6 Mb
Release : 2007-12-14
Category : Mathematics
ISBN : 9780470185070

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Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists by Howard B. Stauffer Pdf

The first all-inclusive introduction to modern statistical research methods in the natural resource sciences The use of Bayesian statistical analysis has become increasingly important to natural resource scientists as a practical tool for solving various research problems. However, many important contemporary methods of applied statistics, such as generalized linear modeling, mixed-effects modeling, and Bayesian statistical analysis and inference, remain relatively unknown among researchers and practitioners in this field. Through its inclusive, hands-on treatment of real-world examples, Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists successfully introduces the key concepts of statistical analysis and inference with an accessible, easy-to-follow approach. The book provides case studies illustrating common problems that exist in the natural resource sciences and presents the statistical knowledge and tools needed for a modern treatment of these issues. Subsequent chapter coverage features: An introduction to the fundamental concepts of Bayesian statistical analysis, including its historical background, conjugate solutions, Bayesian hypothesis testing and decision-making, and Markov Chain Monte Carlo solutions The relevant advantages of using Bayesian statistical analysis, rather than the traditional frequentist approach, to address research problems Two alternative strategies—the a posteriori model selection strategy and the a priori parsimonious model selection strategy using AIC and DIC—to model selection and inference The ideas of generalized linear modeling (GLM), focusing on the most popular GLM of logistic regression An introduction to mixed-effects modeling in S-Plus® and R for analyzing natural resource data sets with varying error structures and dependencies Each statistical concept is accompanied by an illustration of its frequentist application in S-Plus® or R as well as its Bayesian application in WinBUGS. Brief introductions to these software packages are also provided to help the reader fully understand the concepts of the statistical methods that are presented throughout the book. Assuming only a minimal background in introductory statistics, Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists is an ideal text for natural resource students studying statistical research methods at the upper-undergraduate or graduate level and also serves as a valuable problem-solving guide for natural resource scientists across a broad range of disciplines, including biology, wildlife management, forestry management, fisheries management, and the environmental sciences.

Author : Georges Verly
Publisher : Unknown
Page : 528 pages
File Size : 40,9 Mb
Release : 1984
Category : Geology
ISBN : UCSD:31822001957349

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Geostatistics for Natural Resources Characterization by Georges Verly Pdf

Author : Pierre Goovaerts
Publisher : Oxford University Press, USA
Page : 502 pages
File Size : 46,9 Mb
Release : 1997
Category : Mathematics
ISBN : 0195115384

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Geostatistics for Natural Resources Evaluation by Pierre Goovaerts Pdf

This text provides an advanced introduction to the theory and applications of geostatistics, including tools for description, modeling spatial continuity, spatial prediction, assessment of local uncertainty, and stochastic simulation.

Author : Francis T. Christy (jr.),Neal Potter
Publisher : Unknown
Page : 568 pages
File Size : 49,7 Mb
Release : 1962
Category : Electronic
ISBN : OCLC:164880003

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Trends in Natural Resource Commodities by Francis T. Christy (jr.),Neal Potter Pdf

Author : Edwin J. Green,Andrew O. Finley,William E. Strawderman
Publisher : Springer Nature
Page : 188 pages
File Size : 44,6 Mb
Release : 2020-11-26
Category : Science
ISBN : 9783030607500

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Introduction to Bayesian Methods in Ecology and Natural Resources by Edwin J. Green,Andrew O. Finley,William E. Strawderman Pdf

This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management. Bayesian analysis has undergone a remarkable transformation since the early 1990s. Widespread adoption of Markov chain Monte Carlo techniques has made the Bayesian paradigm the viable alternative to classical statistical procedures for scientific inference. The Bayesian approach has a number of desirable qualities, three chief ones being: i) the mathematical procedure is always the same, allowing the analyst to concentrate on the scientific aspects of the problem; ii) historical information is readily used, when appropriate; and iii) hierarchical models are readily accommodated. This monograph contains numerous worked examples and the requisite computer programs. The latter are easily modified to meet new situations. A primer on probability distributions is also included because these form the basis of Bayesian inference. Researchers and graduate students in Ecology and Natural Resource Management will find this book a valuable reference.

Author : Kevin McGarigal,Samuel A. Cushman,Susan Stafford
Publisher : Springer Science & Business Media
Page : 293 pages
File Size : 54,9 Mb
Release : 2013-12-01
Category : Science
ISBN : 9781461212881

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Multivariate Statistics for Wildlife and Ecology Research by Kevin McGarigal,Samuel A. Cushman,Susan Stafford Pdf

With its focus on the practical application of the techniques of multivariate statistics, this book shapes the powerful tools of statistics for the specific needs of ecologists and makes statistics more applicable to their course of study. It gives readers a solid conceptual understanding of the role of multivariate statistics in ecological applications and the relationships among various techniques, while avoiding detailed mathematics and the underlying theory. More importantly, the reader will gain insight into the type of research questions best handled by each technique and the important considerations in applying them. Whether used as a textbook for specialised courses or as a supplement to general statistics texts, the book emphasises those techniques that students of ecology and natural resources most need to understand and employ in their research. While targeted for upper-division and graduate students in wildlife biology, forestry, and ecology, and for professional wildlife scientists and natural resource managers, this book will also be valuable to researchers in any of the biological sciences.

Author : Blue Ribbon Panel on Natural Resource Inventory and Performance Measurement
Publisher : Unknown
Page : 40 pages
File Size : 54,9 Mb
Release : 1995
Category : Conservation of natural resources
ISBN : WISC:89086154945

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Data Rich and Information Poor by Blue Ribbon Panel on Natural Resource Inventory and Performance Measurement Pdf