Statistics In The Environmental Earth Sciences
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Statistics In The Environmental Earth Sciences
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Author : Andrew T. Walden
language : en
Publisher: Hodder Education
Release Date : 1992
Statistics In The Environmental Earth Sciences written by Andrew T. Walden and has been published by Hodder Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Mathematics categories.
Statistics In The Environmental And Earth Sciences
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Author : Andrew T. Walden
language : en
Publisher:
Release Date : 1992
Statistics In The Environmental And Earth Sciences written by Andrew T. Walden and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Earth sciences categories.
Statistics In The Environmental And Earth Sciences
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Author : Andrew T. Walden
language : en
Publisher:
Release Date : 1992
Statistics In The Environmental And Earth Sciences written by Andrew T. Walden and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Earth sciences categories.
Statistics In The Environmental And Earth Sciences
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Author : Peter Guttorp
language : en
Publisher:
Release Date : 1992
Statistics In The Environmental And Earth Sciences written by Peter Guttorp and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Earth sciences categories.
Statistics For Earth And Environmental Scientists
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Author : John H. Schuenemeyer
language : en
Publisher: John Wiley & Sons
Release Date : 2011-04-12
Statistics For Earth And Environmental Scientists written by John H. Schuenemeyer and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-12 with Mathematics categories.
A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water. Proper collection and analysis of data using statistical techniques contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems. The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling—all of which are explored through case studies that use real data from earth science applications. Subsequent chapters focus on principles of modeling and the key methods and techniques for analyzing scientific data, including: Interval estimation and Methods for analyzinghypothesis testing of means time series data Spatial statistics Multivariate analysis Discrete distributions Experimental design Most statistical models are introduced by concept and application, given as equations, and then accompanied by heuristic justification rather than a formal proof. Data analysis, model building, and statistical inference are stressed throughout, and readers are encouraged to collect their own data to incorporate into the exercises at the end of each chapter. Most data sets, graphs, and analyses are computed using R, but can be worked with using any statistical computing software. A related website features additional data sets, answers to selected exercises, and R code for the book's examples. Statistics for Earth and Environmental Scientists is an excellent book for courses on quantitative methods in geology, geography, natural resources, and environmental sciences at the upper-undergraduate and graduate levels. It is also a valuable reference for earth scientists, geologists, hydrologists, and environmental statisticians who collect and analyze data in their everyday work.
Methods And Applications Of Statistics In The Atmospheric And Earth Sciences
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Author : Narayanaswamy Balakrishnan
language : en
Publisher: John Wiley & Sons
Release Date : 2012-11-19
Methods And Applications Of Statistics In The Atmospheric And Earth Sciences written by Narayanaswamy Balakrishnan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-19 with Mathematics categories.
Explore the classic and cutting-edge quantitative methods for understanding environmental science research Based on the multifaceted 16-volume Encyclopedia of Statistical Sciences, Second Edition, Methods and Applications of Statistics in the Atmospheric and Earth Sciences offers guidance on the application of statistical methods for conducting research in these fields of study. With contributions from more than 100 leading experts in academia and industry, this volume combines key articles from the Encyclopedia with newly developed topics addressing some of the more critical issues, including pollution, droughts, and volcanic activity. Readers will gain a thorough understanding of cutting-edge methods for the acquisition and analysis of data across a wide range of subject areas, from geophysics, geology, and biogeography to meteorology, forestry, agriculture, animal science, and ornithology. The book features new and updated content on quantitative methods and their use in understanding the latest topics in social research, including: Drought Analysis and Forecasting Childhood Obesity Ranked Set Sampling Methodology for Environmental Data Species Richness and Shared Species Richness Geographic Information Systems Each contribution offers authoritative yet easily accessible coverage of statistical concepts. With updated references and discussion of emerging topics, readers are provided with the various statistical methods, techniques, strategies, and applications that are essential for tackling critical issues in environmental science research. Featuring a balance of classical and cutting-edge methodologies, Methods and Applications of Statistics in the Atmospheric and Earth Sciences is an excellent resource for researchers, professionals, and students in the fields of sociology, psychology, philosophy, education, political science, and the related disciplines who would like to learn about the uses of statistics in gathering, reporting, and analyzing data.
Overcoming Data Scarcity In Earth Science
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Author : Angela Gorgoglione
language : en
Publisher: MDPI
Release Date : 2020-05-22
Overcoming Data Scarcity In Earth Science written by Angela Gorgoglione and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-22 with Science categories.
heavily Environmental mathematical models represent one of the key aids for scientists to forecast, create, and evaluate complex scenarios. These models rely on the data collected by direct field observations. However, assembly of a functional and comprehensive dataset for any environmental variable is difficult, mainly because of i) the high cost of the monitoring campaigns and ii) the low reliability of measurements (e.g., due to occurrences of equipment malfunctions and/or issues related to equipment location). The lack of a sufficient amount of Earth science data may induce an inadequate representation of the response’s complexity in any environmental system to any type of input/change, both natural and human-induced. In such a case, before undertaking expensive studies to gather and analyze additional data, it is reasonable to first understand what enhancement in estimates of system performance would result if all the available data could be well exploited. Missing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. Different approaches are available to deal with missing data. Traditional statistical data completion methods are used in different domains to deal with single and multiple imputation problems. More recently, machine learning techniques, such as clustering and classification, have been proposed to complete missing data. This book showcases the body of knowledge that is aimed at improving the capacity to exploit the available data to better represent, understand, predict, and manage the behavior of environmental systems at all practical scales.
Statistics For Environmental Science And Management
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Author : Bryan F.J. Manly
language : en
Publisher: CRC Press
Release Date : 2008-10-21
Statistics For Environmental Science And Management written by Bryan F.J. Manly and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-21 with Mathematics categories.
Presenting a nonmathematical approach to this topic, Statistics for Environmental Science and Management introduces frequently used statistical methods and practical applications for the environmental field. This second edition features updated references and examples along with new and expanded material on data quality objectives, the generalized linear model, spatial data analysis, and Monte Carlo risk assessment. Additional topics covered include environmental monitoring, impact assessment, censored data, environmental sampling, the role of statistics in environmental science, assessing site reclamation, and drawing conclusions from data.
Gis Technology Applications In Environmental And Earth Sciences
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Author : Bai Tian
language : en
Publisher: CRC Press
Release Date : 2016-09-19
Gis Technology Applications In Environmental And Earth Sciences written by Bai Tian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-19 with Science categories.
This book starts with an overview of GIS technology, what GIS technology is, what it can do, what software products are available, etc. Then, throughout the book, the author explains with many case studies, programs, maps, graphics, and 3D models how GIS and other related technologies can be used to automate mapping processes, collect, process, edit, store, manage, and share datasets, statistically analyze data, model, and visualize large datasets to understand patterns, trends, and relationships to make educated decisions. This book is an excellent resource for anyone who is interested in GIS and related technologies, geology, natural resource, and environmental science.
Practical Statistics For Geographers And Earth Scientists
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Author : Nigel Walford
language : en
Publisher: John Wiley & Sons
Release Date : 2011-07-05
Practical Statistics For Geographers And Earth Scientists written by Nigel Walford and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-05 with Science categories.
Practical Statistics for Geographers and Earth Scientists provides an introductory guide to the principles and application of statistical analysis in context. This book helps students to gain the level of competence in statistical procedures necessary for independent investigations, field-work and other projects. The aim is to explain statistical techniques using data relating to relevant geographical, geospatial, earth and environmental science examples, employing graphics as well as mathematical notation for maximum clarity. Advice is given on asking the appropriate preliminary research questions to ensure that the correct data is collected for the chosen statistical analysis method. The book offers a practical guide to making the transition from understanding principles of spatial and non-spatial statistical techniques to planning a series analyses and generating results using statistical and spreadsheet computer software. Learning outcomes included in each chapter International focus Explains the underlying mathematical basis of spatial and non-spatial statistics Provides an geographical, geospatial, earth and environmental science context for the use of statistical methods Written in an accessible, user-friendly style Datasets available on accompanying website at www.wiley.com/go/Walford