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Author: Nigel Walford
Publisher: John Wiley & Sons
ISBN: 1119957028
Category : Science
Languages : en
Pages : 385
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Book Description
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
Author: Nigel Walford
Publisher: John Wiley & Sons
ISBN: 1119957028
Category : Science
Languages : en
Pages : 385
Get Book Here
Book Description
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
Author: R. B. G. Williams
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 364
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Book Description
The aims of statistics. Types of numetical data. Populations and samples. Probability and randomness. Frequency distributions. Measures of central tendency. Measures of dispersion and skewness. The binomial and poisson distributions. The normal and log-normal distirbutions. Hypothesis testing. One-sample tests based on Z and t. Interval estimation based on z and t. Paired-sample test based on t and w. Two-sample tests based on F,t and U. Chi-square tests. the product-moment coefficient of correlation. The interpretation of correlation coefficients. Linear regression. Confidence limits and significance tests for sample regression lines.
Author: R. B. G. Williams
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 380
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Book Description
Author: Nicholas Clifford
Publisher: SAGE
ISBN: 1473908973
Category : Science
Languages : en
Pages : 753
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Book Description
"Practical, accessible, careful and interesting, this...revised volume brings the subject up-to-date and explains, in bite sized chunks, the ′how′s′ and ′why′s′ of modern day geographical study...[It] brings together physical and human approaches again in a new synthesis." —Danny Dorling, Professor of Geography, University of Oxford Key Methods in Geography is the perfect introductory companion, providing an overview of qualitative and quantitative methods for human and physical geography. This Third Edition Features: 12 new chapters representing emerging themes including online, virtual and digital geographical methods Real-life case study examples Summaries and exercises for each chapter Free online access to full text of Progress in Human Geography and Progress in Physical Geography Progress Reports The teaching of research methods is integral to all geography courses: Key Methods in Geography, Third Edition explains all of the key methods with which geography undergraduates must be conversant.
Author: Alan G. Clewer
Publisher: John Wiley & Sons
ISBN: 1118685660
Category : Science
Languages : en
Pages : 315
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Book Description
Presents readers with a user-friendly, non-technical introductionto statistics and the principles of plant and crop experimentation.Avoiding mathematical jargon, it explains how to plan and design anexperiment, analyse results, interpret computer output and presentfindings. Using specific crop and plant case studies, this guidepresents: * The reasoning behind each statistical method is explained beforegiving relevant, practical examples * Step-by-step calculations with examples linked to three computerpackages (MINITAB, GENSTAT and SAS) * Exercises at the end of many chapters * Advice on presenting results and report writing Written by experienced lecturers, this text will be invaluable toundergraduate and postgraduate students studying plant sciences,including plant and crop physiology, biotechnology, plant pathologyand agronomy, plus ecology and environmental science students andthose wanting a refresher or reference book in statistics.
Author: Kevin Ward
Publisher: SAGE
ISBN: 144629272X
Category : Social Science
Languages : en
Pages : 313
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Book Description
‘Extends a warm welcome to students who have come face-to-face with the daunting task of producing a dissertation. Written in an accessible and engaging style, it deals with the nitty-gritty of researching the city... a must-have for the student!’ - Kim England, University of Washington ‘An invaluable guide to urban research design for undergraduate and graduate students alike. It provides the novice researcher with a wealth of practical advice on theory, methods, writing style, and everything else one needs to know to design and manage a successful urban research project. I wish this book had been available when I started my research career!′ - Byron Miller, University of Calgary ‘Replete with tremendously useful advice and guidance for students of all social-science disciplines undertaking significant research projects on urban issues... students writing undergraduate and master’s theses, or even doctoral dissertations, are likely to find it tremendously useful as well.’ - David L. Imbroscio, University of Louisville This practical guide for students focuses on the city and on the different ways to research it. The authors explains how research is done, from the original idea to design and implementation, through to writing up and representation. Substantive chapters explain each method in detail, from using archival methods, interviews, ethnography, questionnaires, discourse analysis and diaries, to using GIS and visual methods. With real world examples throughout and guided further reading for each chapter, it is an inspiring guide for students carrying out their own research in urban geography, urban planning, urban studies and urban sociology courses.
Author: Barbara Humberstone
Publisher: Routledge
ISBN: 0429581629
Category : Education
Languages : en
Pages : 369
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Book Description
Over the last two decades Outdoor Studies has emerged as an innovative and vibrant field of study. This is the first book to offer a comprehensive appraisal of established and cutting-edge research methods as applied to Outdoor Studies. Covering qualitative, quantitative and mixed methods, the book examines key methodologies, themes and technologies such as digital research, mobile methodologies, ethnography, interviews, research design, research ethics and ways of disseminating research. Featuring contributions from leading researchers from a variety of disciplinary backgrounds, this is an essential text for any Outdoor Studies course or for researchers looking for innovative and creative research techniques.
Author: John Collinson
Publisher: Liverpool University Press
ISBN: 1780466358
Category : Science
Languages : en
Pages : 354
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Book Description
Completely revised new edition, in colour for the first time, of an established textbook in sedimentology.
Author: John H. Schuenemeyer
Publisher: John Wiley & Sons
ISBN: 1118102215
Category : Mathematics
Languages : en
Pages : 341
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Book Description
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.
Author: John C. Davis
Publisher: John Wiley & Sons
ISBN:
Category : Geology
Languages : en
Pages : 0
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Book Description
Special Features: · Offers a comprehensive treatment of statistics in geology.· Topics progress from background information to analysis of geological sequences, then maps, and finally multivariate observations.· The book places special emphasis on probability and statistics, including nonparametric statistics, constant-sum data, eigenvalue calculations, analysis of directional data, mapping and geostatistics, fractals, and multivariate analysis.· The text now includes numerous geological data sets that illustrate how specific computational procedures can be applied to problems in the Earth sciences. All data sets are available on the book's companion Web site.· Each chapter now ends with a set of exercises of greater or lesser complexity that the student can address using methods discussed in the chapter.· Provides expanded coverage of elementary probability theory.· The discussion of nonparametric methods has been expanded to address closure effects.· Coverage of eigenvalues and eigenvectors has been revised.· Includes a new section on singular value decomposition and the relationship between R- and Q-mode factor methods in the chapter on multivariate analysis.· The section on contour mapping has been revised to reflect modern practices.· Includes revised coverage of the many varieties of kriging and provides of series of simple demonstrations that illustrate how geostatistical methodologies work.· Includes a discussion of fractals, a promising area of future research.· The section on regression has been expanded to include several variants that have special significance in the Earth sciences.
