Search Results for "statistical-methods-for-geography-a-student-s-guide"

Statistical Methods for Geography

Statistical Methods for Geography

A Student's Guide

  • Author: Peter A Rogerson
  • Publisher: SAGE
  • ISBN: 9781446245156
  • Category: Social Science
  • Page: 368
  • View: 3594
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'This book provides students with everything they need to know in both a basic statistics course and also in introductory courses focused on spatial data analysis. It is extremely well-written, well-organised and has plenty of easily understood examples - really the ideal textbook. I recommend it extremely highly' - Stewart Fotheringham, Director, National Centre for Geocomputation National University of Ireland Maynooth The Third Edition of this bestselling student favourite has again been revised and updated to provide an expert introduction to the principal methods and techniques needed to understand a statistics module. Features new to this edition include: - further introductory material - updated exercises and illustrative examples - updated downloadable datasets

Statistical Methods for Geography

Statistical Methods for Geography

A Student’s Guide

  • Author: Peter A Rogerson
  • Publisher: SAGE
  • ISBN: 1473911109
  • Category: Social Science
  • Page: 424
  • View: 9344
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How do beginning students of statistics for geography learn to fully understand the key concepts and apply the principal techniques? This text, now in its Fourth Edition, provides exactly that resource. Accessibly written, and focussed on student learning, it’s a statistics 101 that includes definitions, examples, and exercise throughout. Now fully integrated with online self-assessment exercises and video navigation, it explains everything required to get full credits for any undergraduate statistics module: Descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis. Exercises in the text are complemented with online exercise and prompts that test the understanding of concepts and techniques, additional online exercises review understanding of the entire chapter, relating concepts and techniques. Completely revised and updated for accessibility, including new material (on measures of distance, statistical power, sample size selection, and basic probability) with related exercises and downloadable datasets. It is the only text required for undergraduate modules in statistical analysis, statistical methods, and quantitative geography.

Statistical Methods for Geography

Statistical Methods for Geography

A Student's Guide

  • Author: Peter A Rogerson
  • Publisher: SAGE
  • ISBN: 9781412907965
  • Category: Science
  • Page: 304
  • View: 3561
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"The First Edition of Statistical Methods for Geography provided an excellent introduction to the statistical analysis of spatial data. The second edition is even better - providing more material on probability and on descriptive statistics as well as more exercises. I would recommend this strongly as a text for introductory statistics courses in geography. It is currently the best on the market by far." - A. Stewart Fotheringham, National University of Ireland, Maynooth The Second Edition of this bestselling text has been completely revised and updated. It provides a systematic introduction to the principal methods and techniques that students must understand to complete a statistics course. Features new to this edition include: More introductory material especially in a new chapter on descriptive statistics, and much-expanded introductory chapters More exercises and illustrative examples within the chapters SPSS for Windows and EXCEL used to illustrate the applied use of the methods A companion Web site for lecturers and students is available at www.sagepub.co.uk/rogerson. The password-protected lecturer section contains answers to questions from the book. There are also downloadable-datasets and study skills for students.

Statistical Methods for Geography

Statistical Methods for Geography

  • Author: Peter Rogerson
  • Publisher: SAGE Publications Limited
  • ISBN: N.A
  • Category: Science
  • Page: 236
  • View: 1672
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This text provides a systematic introduction to the essential techniques that all students must understand to complete a module in statistical analysis. The book provides an overview of spatial data and spatial data analysis.

Statistical Methods for Geography, A Students Guide

Statistical Methods for Geography, A Students Guide

  • Author: CTI Reviews
  • Publisher: Cram101 Textbook Reviews
  • ISBN: 1478447354
  • Category: Education
  • Page: 53
  • View: 5429
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Facts101 is your complete guide to Statistical Methods for Geography, A Students Guide. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Key Methods in Geography

Key Methods in Geography

  • Author: Nicholas Clifford,Shaun French,Gill Valentine
  • Publisher: SAGE
  • ISBN: 9781446243633
  • Category: Science
  • Page: 568
  • View: 6619
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"Its range is far broader than the majority of methods texts, being concerned with both human and physical geography... Given the seriousness with which Key Methods in Geography approaches all aspects of research, it will continue to find wide favour among undergraduate geographers." - Times Higher Education Textbook Guide "All geographers, whatever their interest, need to do research. This book will help them get started in the best possible way, with thoughtful advice on everything from project design, through choice of methods, to data analysis and presentation. The editors have assembled an impressive array of authors, all experts in their chosen field." - Tim Burt, University of Durham "Excellent book. Valuable teaching aid. Well written and covers a wide range of methods thoroughly." - Sue Rodway-Dyer, Exeter University "This is an excellent book and deals with a number of topics (which I teach) outside of the tutorial module where it is a recommended text for geographers. A very useful textbook throughout a 3 year Geography programme." - Ian Harris, Bangor University Key Methods in Geography is an introduction to the principal methodological issues involved in the collection, analysis and presentation of geographical information. It is unique in the reference literature for providing an overview of qualitative and quantitative methods for human and physical geography. An accessible primer, it will be used by students as a reference throughout their degree, on all issues from research design to presentation. This second edition has been fully revised and updated and includes new chapters on internet mediated research, diaries as a research method, making observations and measurements in the field, and the analysis of natural systems. Organized into four sections: Getting Started in Geographical Research; Generating and Working with Data in Human Geography; Generating and Working with Data in Physical Geography; Representing and Interpreting Geographical Data; each chapter comprises: A short definition A summary of the principal arguments A substantive 5,000-word discussion Use of real-life examples Annotated notes for further reading. The teaching of research methods is integral to all geography courses: Key Methods in Geography, 2nd Edition explains all of the key methods with which geography undergraduates must be conversant.

Statistik in der Geographie

Statistik in der Geographie

Eine Exkursion durch die deskriptive Statistik

  • Author: Susanne Zimmermann-Janschitz
  • Publisher: Springer-Verlag
  • ISBN: 382742612X
  • Category: Science
  • Page: 383
  • View: 5277
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Mit der Statistik verhält es sich so wie mit der Stadt New York – entweder man liebt sie, oder man hasst sie. Was hat diese Feststellung jedoch mit vorliegendem Buch zu tun? Im Laufe der letzten Jahrzehnte hat sich die Geographie von ihrer länderkundlichen Betrachtungsweise umorientiert und ist um zahlreiche Schwerpunkte und Zugänge erweitert worden, etwa der Implementierung (geo-)technologischer Methoden, GIS und Fernerkundung, der Modellierung von Naturphänomenen oder sozialgeographischer Fragestellungen. Für etliche Aspekte benötigt man Kenntnisse in Statistik. Wie kann es gelingen, Studierende für diesen Themenbereich zu begeistern, der oftmals seit der Schule mit Respekt oder sogar Abneigung begegnet wird? Im Gegensatz zu technologischen bzw. mathematischen Inhalten eint sämtliche Geographinnen und Geographen die Begeisterung für eine Facette: die fürs Reisen. Warum also nicht Herausforderung und Begeisterung miteinander verbinden? Dieses Buch führt Sie auf eine Entdeckungsreise, eine Exkursion. Das Ziel der Reise istdas Verständnis der deskriptiven Statistik. Eingepackt in ausführliche Reisevor- und Nachbereitungen, die sowohl die Datengewinnung wie auch deren Visualisierung umfassen, führt Sie die Exkursion in einzelnen Etappen durch wichtige Kernelemente der beschreibenden Statistik. Dabei wird Unbekanntes mit Bekanntem verbunden, Unentdecktes schmackhaft aufbereitet und ein etwas „anderer“ Blickwinkel geschärft. Neugierig geworden? Dann nehmen Sie an dieser Entdeckungsreise teil und erkunden Sie die Grundlagen der Statistik. Eine gute Reise!

Methods in Human Geography

Methods in Human Geography

A Guide for Students Doing Research Projects

  • Author: Robin Flowerdew,David Martin
  • Publisher: Prentice Hall
  • ISBN: 9780582289734
  • Category: Social Science
  • Page: 296
  • View: 7620
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Many students find it difficult to select and use appropriate techniques required for preparing research projects, in the final years of their human geography course. Methods in Human Geography provides an accessible guide to a wide variety of contemporary research methods, together with practical advice on choosing a topic and producing the written report. The text provides an overview of both qualitative and quantitative techniques, together with guidance on how to pursue each approach further. As such it will prove of great value not only to human geography students, but as an introduction to research methods for all students preparing a dissertation.Key Features: - Focuses on human geography research- Integrates previously disparate material into one focused book- Combines qualitative and quantitative techniques, for example using interviews as a research methodology, participant observation, analysing numerical data, questionnaire design- Provides a guide to a variety of available research methods- Offers invaluable advice on: how to choose a topics; data sources; writing up, etc.- The text is organised into sections containing an introduction, preparation for research, qualit

Simple Statistical Tests for Geography

Simple Statistical Tests for Geography

  • Author: Danny McCarroll
  • Publisher: CRC Press
  • ISBN: 1498758940
  • Category: Mathematics
  • Page: 360
  • View: 3645
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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.

Schließende Statistik für Geographen

Schließende Statistik für Geographen

Eine Einführung

  • Author: G.B. Norcliffe
  • Publisher: Springer-Verlag
  • ISBN: 3642681034
  • Category: Science
  • Page: 252
  • View: 2843
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Data Analysis and Statistics for Geography, Environmental Science, and Engineering

Data Analysis and Statistics for Geography, Environmental Science, and Engineering

  • Author: Miguel F. Acevedo
  • Publisher: CRC Press
  • ISBN: 1466592214
  • Category: Mathematics
  • Page: 557
  • View: 5633
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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 sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines. Learn How to Use a Variety of Data Analysis and Statistics Methods Based on the author’s many years of teaching graduate and undergraduate students, this textbook emphasizes hands-on learning. Organized into two parts, it allows greater flexibility using the material in various countries and types of curricula. The first part covers probability, random variables and inferential statistics, applications of regression, time series analysis, and analysis of spatial point patterns. The second part uses matrix algebra to address multidimensional problems. After a review of matrices, it delves into multiple regression, dependent random processes and autoregressive time series, spatial analysis using geostatistics and spatial regression, discriminant analysis, and a variety of multivariate analyses based on eigenvector methods. Build from Fundamental Concepts to Effective Problem Solving Each chapter starts with conceptual and theoretical material to give a firm foundation in how the methods work. Examples and exercises illustrate the applications and demonstrate how to go from concepts to problem solving. Hands-on computer sessions allow students to grasp the practical implications and learn by doing. Throughout, the computer examples and exercises use seeg and RcmdrPlugin.seeg, open-source R packages developed by the author, which help students acquire the skills to implement and conduct analysis and to analyze the results. This self-contained book offers a unified presentation of data analysis methods for more effective problem solving. With clear, easy-to-follow explanations, the book helps students to develop a solid understanding of basic statistical analysis and prepares them for learning the more advanced and specialized methods they will need in their work.

Practical Statistics for Geographers and Earth Scientists

Practical Statistics for Geographers and Earth Scientists

  • Author: Nigel Walford
  • Publisher: John Wiley & Sons
  • ISBN: 1119957028
  • Category: Science
  • Page: 440
  • View: 803
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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

An Introduction to R for Spatial Analysis and Mapping

An Introduction to R for Spatial Analysis and Mapping

  • Author: Chris Brunsdon,Lex Comber
  • Publisher: SAGE
  • ISBN: 1473911192
  • Category: Social Science
  • Page: 360
  • View: 1525
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"In an age of big data, data journalism and with a wealth of quantitative information around us, it is not enough for students to be taught only 100 year old statistical methods using 'out of the box' software. They need to have 21st-century analytical skills too. This is an excellent and student-friendly text from two of the world leaders in the teaching and development of spatial analysis. It shows clearly why the open source software R is not just an alternative to commercial GIS, it may actually be the better choice for mapping, analysis and for replicable research. Providing practical tips as well as fully working code, this is a practical 'how to' guide ideal for undergraduates as well as those using R for the first time. It will be required reading on my own courses." - Richard Harris, Professor of Quantitative Social Science, University of Bristol R is a powerful open source computing tool that supports geographical analysis and mapping for the many geography and ‘non-geography’ students and researchers interested in spatial analysis and mapping. This book provides an introduction to the use of R for spatial statistical analysis, geocomputation and the analysis of geographical information for researchers collecting and using data with location attached, largely through increased GPS functionality. Brunsdon and Comber take readers from ‘zero to hero’ in spatial analysis and mapping through functions they have developed and compiled into R packages. This enables practical R applications in GIS, spatial analyses, spatial statistics, mapping, and web-scraping. Each chapter includes: Example data and commands for exploring it Scripts and coding to exemplify specific functionality Advice for developing greater understanding - through functions such as locator(), View(), and alternative coding to achieve the same ends Self-contained exercises for students to work through Embedded code within the descriptive text. This is a definitive 'how to' that takes students - of any discipline - from coding to actual applications and uses of R.

Life on a Rocky Farm

Life on a Rocky Farm

Rural Life Near New York City in the Late Nineteenth Century

  • Author: Lucas C. Barger,Peter A. Rogerson
  • Publisher: SUNY Press
  • ISBN: 1438446020
  • Category: Biography & Autobiography
  • Page: 163
  • View: 1150
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A folksy look at farm life in rugged Putnam Valley just as it was being transformed by industrialization and mechanization.

A Guide to Information Sources in the Geographical Sciences

A Guide to Information Sources in the Geographical Sciences

  • Author: Stephen Goddard
  • Publisher: Rowman & Littlefield
  • ISBN: 9780389204039
  • Category: Reference
  • Page: 273
  • View: 9998
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Geography is a wide-ranging discipline and the number of information sources available is truly enormous. These include printed books and journal articles, maps, satellite photographs, archives, statistical information, and much else. One particular problem facing geographers is that when one studies a foreign country, information may be available only in the foreign country and difficult to obtain. This book discusses the information sources available to geographers.

Continuum Guide to Geography Education

Continuum Guide to Geography Education

  • Author: Graham Butt
  • Publisher: A&C Black
  • ISBN: 082644816X
  • Category: Education
  • Page: 222
  • View: 7918
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A reference guide to geography education. Entries, arranged alphabetically, cover: government legislation and reports; famous geography educators; resources; research findings; movements, trends, debates and issues; organizations; and key concepts. An analytical index helps the reader to choose paths through the book, connecting entries.

Medical Statistics from A to Z

Medical Statistics from A to Z

A Guide for Clinicians and Medical Students

  • Author: B. S. Everitt
  • Publisher: Cambridge University Press
  • ISBN: 9780521532044
  • Category: Mathematics
  • Page: 230
  • View: 9719
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An accessible non-technical introduction to the terminology of medical statistics.

Spatial Analysis Along Networks

Spatial Analysis Along Networks

Statistical and Computational Methods

  • Author: Atsuyuki Okabe,Kokichi Sugihara
  • Publisher: John Wiley & Sons
  • ISBN: 1119967767
  • Category: Mathematics
  • Page: 320
  • View: 7159
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In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the contamination along rivers. In order to carry out analyses of those events, the researcher needs to be familiar with a range of specific techniques. Spatial Analysis Along Networks provides a practical guide to the necessary statistical techniques and their computational implementation. Each chapter illustrates a specific technique, from Stochastic Point Processes on a Network and Network Voronoi Diagrams, to Network K-function and Point Density Estimation Methods, and the Network Huff Model. The authors also discuss and illustrate the undertaking of the statistical tests described in a Geographical Information System (GIS) environment as well as demonstrating the user-friendly free software package SANET. Spatial Analysis Along Networks: Presents a much-needed practical guide to statistical spatial analysis of events on and alongside a network, in a logical, user-friendly order. Introduces the preliminary methods involved, before detailing the advanced, computational methods, enabling the readers a complete understanding of the advanced topics. Dedicates a separate chapter to each of the major techniques involved. Demonstrates the practicalities of undertaking the tests described in the book, using a GIS. Is supported by a supplementary website, providing readers with a link to the free software package SANET, so they can execute the statistical methods described in the book. Students and researchers studying spatial statistics, spatial analysis, geography, GIS, OR, traffic accident analysis, criminology, retail marketing, facility management and ecology will benefit from this book.

Genetic Counseling Research: A Practical Guide

Genetic Counseling Research: A Practical Guide

  • Author: Ian MacFarlane,Patricia McCarthy Veach,Bonnie LeRoy
  • Publisher: Oxford University Press
  • ISBN: 0199359113
  • Category: Medical
  • Page: 256
  • View: 7740
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Genetic Counseling Research: A Practical Guide is the first text devoted to research methodology in genetic counseling. This text offers step-by-step guidance for conducting research, from the development of a question to the publication of findings. Genetic counseling examples, user-friendly worksheets, and practical tips guide readers through the research and publication processes. With a highly accessible, pedagogical approach, this book will help promote quality research by genetic counselors and research supervisors--and in turn, increase the knowledge base for genetic counseling practice, other aspects of genetic counseling service delivery, and professional education. It will be an invaluable resource to the next generation of genetic counseling and its surrounding disciplines.

Data Analysis Methods in Physical Oceanography

Data Analysis Methods in Physical Oceanography

  • Author: William J. Emery,Richard E. Thomson
  • Publisher: Gulf Professional Publishing
  • ISBN: 9780444507570
  • Category: Science
  • Page: 638
  • View: 8041
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Data Analysis Methods in Physical Oceanography is a practical reference guide to established and modern data analysis techniques in earth and ocean sciences. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on 'Convolution and Fourier transforms'. Intended for both students and established scientists, the five major chapters of the book cover data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. Chapter 5 on time series analysis is a book in itself, spanning a wide diversity of topics from stochastic processes and stationarity, coherence functions, Fourier analysis, tidal harmonic analysis, spectral and cross-spectral analysis, wavelet and other related methods for processing nonstationary data series, digital filters, and fractals. The seven appendices include unit conversions, approximation methods and nondimensional numbers used in geophysical fluid dynamics, presentations on convolution, statistical terminology, and distribution functions, and a number of important statistical tables. Twenty pages are devoted to references. Featuring: . An in-depth presentation of modern techniques for the analysis of temporal and spatial data sets collected in oceanography, geophysics, and other disciplines in earth and ocean sciences. . A detailed overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data. . 7 appendices especially applicable to earth and ocean sciences ranging from conversion of units, through statistical tables, to terminology and non-dimensional parameters. In praise of the first edition: "(...)This is a very practical guide to the various statistical analysis methods used for obtaining information from geophysical data, with particular reference to oceanography(...) The book provides both a text for advanced students of the geophysical sciences and a useful reference volume for researchers." Aslib Book Guide Vol 63, No. 9, 1998 "(...)This is an excellent book that I recommend highly and will definitely use for my own research and teaching." EOS Transactions, D.A. Jay, 1999 "(...)In summary, this book is the most comprehensive and practical source of information on data analysis methods available to the physical oceanographer. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations." Oceanography, Vol. 12, No. 3, A. Plueddemann, 1999 "(...)Data Analysis Methods in Physical Oceanography is highly recommended for a wide range of readers, from the relative novice to the experienced researcher. It would be appropriate for academic and special libraries." E-Streams, Vol. 2, No. 8, P. Mofjelf, August 1999