Statistical Techniques in Geographical Analysis PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Statistical Techniques in Geographical Analysis PDF full book. Access full book title Statistical Techniques in Geographical Analysis by Gareth Shaw. Download full books in PDF and EPUB format.
Author: Gareth Shaw
Publisher: Wiley
ISBN: 9780470234020
Category : Science
Languages : en
Pages : 359
Get Book Here
Book Description
Statistical Techniques in Geographical Analysis Second Edition Gareth Shaw Department of Geography, University of Exeter and Dennis Wheeler Department of Geography, University of Sunderland The second edition of this widely-used undergraduate textbook is shorter than its predecessor, but now contains a thorough treatment of computational methods. It aims to cover degree students’ needs in statistical methods from their first to final years. Assuming no more than basic secondary or high school mathematics, the authors provide coverage of a range of techniques, from simple descriptive to parametric and non-parametric methods in bivariate and multivariate settings. Almost invariably, each techniques is introduced ‘manually’, followed up by the appropriate application using either the SPSS or MINITAB software packages — the two statistical packages most widely used by geographers. Topics are introduced in an orderly sequence, reinforced by worked examples, so that the book can be equally valuable as part of a teaching scheme, as an aid in distance learning or as an accessible reference source on the different techniques. Fulton textbooks for geography students The Middle East: a Geographical Study, Second Edition Peter Beaumont, Gerald Blake and Malcolm Wagstaff 1-85346-093-1 640 pages Paperback Cities in Space: City as Place David Herbert and Colin Thomas 352 pages 1-85346-109-1 Paperback 1-85346-138-5 Hardback The European City: a Western Perspective, Second Edition David Burtenshaw, Michael Bateman and Gregory Ashworth 1-85346-030-3 324 pages Paperback Retailing: Shopping, Society, Space Larry O’Brien and Frank Harris 1-85346-122-9 160 pages Paperback
Author: Gareth Shaw
Publisher: Wiley
ISBN: 9780470234020
Category : Science
Languages : en
Pages : 359
Get Book Here
Book Description
Statistical Techniques in Geographical Analysis Second Edition Gareth Shaw Department of Geography, University of Exeter and Dennis Wheeler Department of Geography, University of Sunderland The second edition of this widely-used undergraduate textbook is shorter than its predecessor, but now contains a thorough treatment of computational methods. It aims to cover degree students’ needs in statistical methods from their first to final years. Assuming no more than basic secondary or high school mathematics, the authors provide coverage of a range of techniques, from simple descriptive to parametric and non-parametric methods in bivariate and multivariate settings. Almost invariably, each techniques is introduced ‘manually’, followed up by the appropriate application using either the SPSS or MINITAB software packages — the two statistical packages most widely used by geographers. Topics are introduced in an orderly sequence, reinforced by worked examples, so that the book can be equally valuable as part of a teaching scheme, as an aid in distance learning or as an accessible reference source on the different techniques. Fulton textbooks for geography students The Middle East: a Geographical Study, Second Edition Peter Beaumont, Gerald Blake and Malcolm Wagstaff 1-85346-093-1 640 pages Paperback Cities in Space: City as Place David Herbert and Colin Thomas 352 pages 1-85346-109-1 Paperback 1-85346-138-5 Hardback The European City: a Western Perspective, Second Edition David Burtenshaw, Michael Bateman and Gregory Ashworth 1-85346-030-3 324 pages Paperback Retailing: Shopping, Society, Space Larry O’Brien and Frank Harris 1-85346-122-9 160 pages Paperback
Author: Peter Rogerson
Publisher: SAGE
ISBN: 152970023X
Category : Reference
Languages : en
Pages : 433
Get Book Here
Book Description
Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key statistical concepts and techniques. Now in its fifth edition, this text is an accessible statistics ‘101’ focused on student learning, and includes definitions, examples, and exercises throughout. Fully integrated with online self-assessment exercises and video overviews, it explains everything required to get full credits for any undergraduate statistics module. The fifth edition of this bestselling text includes: · Coverage of descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis. · New examples from physical geography and additional real-world examples. · Updated in-text and online exercises along with downloadable datasets. This is the only text you’ll need for undergraduate courses in statistical analysis, statistical methods, and quantitative geography.
Author: Simon James Dadson
Publisher: John Wiley & Sons
ISBN: 1118525140
Category : Science
Languages : en
Pages : 252
Get Book Here
Book Description
Statistics Analysis of Geographical Data: An Introduction provides a comprehensive and accessible introduction to the theory and practice of statistical analysis in geography. It covers a wide range of topics including graphical and numerical description of datasets, probability, calculation of confidence intervals, hypothesis testing, collection and analysis of data using analysis of variance and linear regression. Taking a clear and logical approach, this book examines real problems with real data from the geographical literature in order to illustrate the important role that statistics play in geographical investigations. Presented in a clear and accessible manner the book includes recent, relevant examples, designed to enhance the reader’s understanding.
Author: Aslam Mahmood
Publisher:
ISBN: 9788185891170
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Author: J. Chapman McGrew, Jr.
Publisher: Waveland Press
ISBN: 1478609621
Category : Science
Languages : en
Pages : 266
Get Book Here
Book Description
Written for undergraduate geography majors and entry-level graduate students with limited backgrounds in statistical analysis and methods, McGrew and Monroe provide a comprehensive and understandable introduction to statistical methods in a problem-solving framework. Engaging examples and problems are drawn from a variety of topical areas in both human and physical geography and are fully integrated into the text. Without compromising statistical rigor or oversimplifying, the authors stress the importance of written narratives that explain each statistical technique. After introducing basic statistical concepts and terminology, the authors focus on nonspatial and spatial descriptive statistics. They transition to inferential problem solving, including probability, sampling, and estimation, before delving deeper into inferential statistics for geographic problem solving. The final chapters examine the related techniques of correlation and regression. A list of major goals and objectives is included at the end of each chapter, allowing students to monitor their own progress and mastery of geographic statistical materials. An epilogue, offering over 150 geographic situations, gives students a chance to figure out which statistical technique should be used for a particular situation.
Author: Miguel F. Acevedo
Publisher: CRC Press
ISBN: 1466592214
Category : Mathematics
Languages : en
Pages : 549
Get Book Here
Book Description
Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustain
Author: Danny McCarroll
Publisher: CRC Press
ISBN: 1498758940
Category : Mathematics
Languages : en
Pages : 497
Get Book Here
Book Description
This book is aimed directly at students of geography, particularly those who lack confidence in manipulating numbers. The aim is not to teach the mathematics behind statistical tests, but to focus on the logic, so that students can choose the most appropriate tests, apply them in the most convenient way and make sense of the results. Introductory chapters explain how to use statistical methods and then the tests are arranged according to the type of data that they require. Diagrams are used to guide students toward the most appropriate tests. The focus is on nonparametric methods that make very few assumptions and are appropriate for the kinds of data that many students will collect. Parametric methods, including Student’s t-tests, correlation and regression are also covered. Although aimed directly at geography students at senior undergraduate and graduate level, this book provides an accessible introduction to a wide range of statistical methods and will be of value to students and researchers in allied disciplines including Earth and environmental science, and the social sciences.
Author: Andrew B. Lawson
Publisher: John Wiley & Sons
ISBN: 1118723171
Category : Medical
Languages : en
Pages : 302
Get Book Here
Book Description
Spatial epidemiology is the description and analysis of the geographical distribution of disease. It is more important now than ever, with modern threats such as bio-terrorism making such analysis even more complex. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic models. This is expanded upon in Part II by applying this knowledge to the fundamental problems within spatial epidemiology, such as disease mapping, ecological analysis, disease clustering, bio-terrorism, space-time analysis, surveillance and infectious disease modelling. Provides a comprehensive overview of the main statistical methods used in spatial epidemiology. Updated to include a new emphasis on bio-terrorism and disease surveillance. Emphasizes the importance of space-time modelling and outlines the practical application of the method. Discusses the wide range of software available for analyzing spatial data, including WinBUGS, SaTScan and R, and features an accompanying website hosting related software. Contains numerous data sets, each representing a different approach to the analysis, and provides an insight into various modelling techniques. This text is primarily aimed at medical statisticians, researchers and practitioners from public health and epidemiology. It is also suitable for postgraduate students of statistics and epidemiology, as well professionals working in government agencies.
Author: Nigel Walford
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 472
Get Book Here
Book Description
It is increasingly important for the earth science student to appreciate that the acquisition of skills in statistics and computerised data analysis is as much part of modern geography as work in the field, laboratory or library. In this respect, Geographical Data Analysis aims to link the use of statistical techniques by means of computer software, to the acquisition of geographical-knowledge and the scientific method of enquiry. The book has three objectives: to explain basic statistical techniques and demonstrate their application to quantitative geography; to equip students with the knowledge and skills necessary for carrying out research projects; and to make the link between statistical analysis and the substantive topics taught as part of a geography course. An important innovative feature of the book is its project-orientated approach, which utilises exemplar projects drawn from human and physical geography. Each exemplar project shows the progress from the conception of the initial research through to the formulation of tentative hypotheses and the subsequent statistical analysis. The projects exemplify both primary and secondary methods for collecting geographical data, with the computer-based application of a wide range of statistical techniques. Thus, these projects allow discussion of sample design, data collection and computerisation, and a selection of appropriate statistical techniques. As such, Geographical Data Analysis integrates quantitative and geographical methodologies and provides a thorough understanding of basic statistical techniques for the undergraduate geography student; it will be of use from first year through to final degree dissertations.
Author: D.R. Helsel
Publisher: Elsevier
ISBN: 0080875084
Category : Science
Languages : en
Pages : 539
Get Book Here
Book Description
Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources.The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies.The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.
