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: 3276
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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

Key Methods in Geography

Key Methods in Geography

  • Author: Nicholas Clifford,Shaun French,Gill Valentine
  • Publisher: SAGE
  • ISBN: 9781446243633
  • Category: Science
  • Page: 568
  • View: 4906
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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.

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: 2407
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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.

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: 3704
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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

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: 5451
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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: 3594
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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.

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: 9941
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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.

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: 6537
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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.

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: 143988501X
  • Category: Mathematics
  • Page: 557
  • View: 6007
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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.

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: 7351
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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.