Statistical Methods for Geography

A Student’s Guide
Author: Peter A Rogerson
Publisher: SAGE
ISBN: 1473911109
Category: Social Science
Page: 424
View: 6097

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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.

Statistics for Research

With a Guide to SPSS
Author: George Argyrous
Publisher: SAGE
ISBN: 9781446245163
Category: Reference
Page: 608
View: 4240

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This fully updated edition of Statistics for Research explains statistical concepts in a straight-forward and accessible way using practical examples from a variety of disciplines. If you're looking for an easy-to-read, comprehensive introduction to statistics with a guide to SPSS, this is the book for you! The new edition features: - Clear explanations of all the main techniques of statistical analysis - A brand new student-friendly, easy-to-navigate design - Even more step-by-step screenshots of SPSS commands and outputs - An extensive glossary of terms, ideal for those new to statistics - End of chapter exercises to help you put your learning into practice - A new, fully updated companion website (www.uk.sagepub.com/argyrous3) with comprehensive student and lecturer resources including additional, discipline specific examples and online readings and WebCT/Blackboard quizzes. This is the ideal textbook for any course in statistical methods across the health and social sciences and a perfect starter book for students, researchers and professionals alike.

Understanding and Using Advanced Statistics

A Practical Guide for Students
Author: Jeremy J Foster,Emma Barkus,Christian Yavorsky
Publisher: SAGE
ISBN: 9781412900140
Category: Social Science
Page: 178
View: 3096

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The spread of sophisticated computer packages and the machinery on which to run them has meant that procedures which were previously only available to experienced researchers with access to expensive machines and research students can now be carried out in a few seconds by almost every undergraduate. Understanding and Using Advanced Statistics provides the basis for gaining an understanding of what these analytic procedures do, when they should be used, and what the results provided signify. This comprehensive textbook guides students and researchers through the transition from simple statistics to more complex procedures with accessible language and illustration.

Quantitative Geography

The Basics
Author: Richard Harris
Publisher: SAGE
ISBN: 1473933382
Category: Science
Page: 328
View: 7392

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Numerical data are everywhere. Charts and statistics appear not just in geography journals but also in the media, in public policy, and in business and commerce too. To engage with quantitative geography, we must engage with the quantitative methods used to collect, analyse, present and interpret these data. Quantitative Geography: The Basics is the perfect introduction for undergraduates beginning any quantitative methods course. Written in short, user-friendly chapters with full-colour diagrams, the book guides the reader through a wide range of topics from the basic to the more advanced, including: Statistics Maths Graphics Models Mapping and GIS R Closely aligned with the Q-Step quantitative social science programme, Quantitative Geography: The Basics is the ideal starting point for understanding and exploring this fundamental area of Geography.

A Student’s Guide to Bayesian Statistics


Author: Ben Lambert
Publisher: SAGE
ISBN: 1526418266
Category: Social Science
Page: 520
View: 4739

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Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics. Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers. Through a logical structure that introduces and builds upon key concepts in a gradual way and slowly acclimatizes students to using R and Stan software, the book covers: An introduction to probability and Bayesian inference Understanding Bayes' rule Nuts and bolts of Bayesian analytic methods Computational Bayes and real-world Bayesian analysis Regression analysis and hierarchical methods This unique guide will help students develop the statistical confidence and skills to put the Bayesian formula into practice, from the basic concepts of statistical inference to complex applications of analyses.

Quantitative Geography

Perspectives on Spatial Data Analysis
Author: A Stewart Fotheringham,Chris Brunsdon,Martin Charlton
Publisher: SAGE
ISBN: 9780761959489
Category: Science
Page: 270
View: 5846

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GIS.

A Student's Guide to Methodology


Author: Peter Clough,Cathy Nutbrown
Publisher: SAGE
ISBN: 1446289435
Category: Reference
Page: 288
View: 8953

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The Third Edition of this hugely popular text provides students with straightforward principles and frameworks for understanding methodology. Peter Clough and Cathy Nutbrown are adept at making methodology meaningful for beginners and more advanced readers alike. Their book clearly demonstrates how methodology impacts upon every stage of the research process, and gives readers all of the tools that they need to understand it. New to this edition are the following: - new boxes and guidance on research ethics in every chapter - more international examples and perspectives - up to date coverage of online research methods - more examples from real students - a new companion website, featuring Powerpoint slides for lecturers The authors take an applied approach and every chapter contains a variety of practical examples from real research. Readers are encouraged to reflect on their own practice at every step, meaning that the book remains extremely relevant throughout. It will be invaluable for all students who are doing a dissertation or taking a research methods module in education, the social sciences, business and health.

Simple Statistical Tests for Geography


Author: Danny McCarroll
Publisher: CRC Press
ISBN: 1498758940
Category: Mathematics
Page: 360
View: 442

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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.

Applied Statistics Using Stata

A Guide for the Social Sciences
Author: Mehmet Mehmetoglu,Tor Georg Jakobsen
Publisher: SAGE
ISBN: 1473987903
Category: Social Science
Page: 376
View: 4770

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Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the ‘why’ of statistics and the ‘how’. Built upon a variety of engaging examples from across the social sciences it provides a rich collection of statistical methods and models. Students are encouraged to see the impact of theory whilst simultaneously learning how to manipulate software to meet their needs. The book also provides: Original case studies and data sets Practical guidance on how to run and test models in Stata Downloadable Stata programmes created to work alongside chapters A wide range of detailed applications using Stata Step-by-step notes on writing the relevant code. This excellent text will give anyone doing statistical research in the social sciences the theoretical, technical and applied knowledge needed to succeed.

Researching the City

A Guide for Students
Author: Kevin Ward
Publisher: SAGE
ISBN: 144629272X
Category: Social Science
Page: 184
View: 4593

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‘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.

Research Methods and Statistics in Psychology


Author: S Alexander Haslam,Craig McGarty
Publisher: SAGE
ISBN: 1446297586
Category: Psychology
Page: 544
View: 8736

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The second edition of Haslam and McGarty's best-selling textbook, Research Methods and Statistics in Psychology, provides students with a highly readable and comprehensive introduction to conducting research in psychology. The book guides readers through the range of choices involved in design, analysis, and presentation and is supplemented by a range of practical learning features both inside the book and online. These draw on the authors' extensive experience as frontline researchers, and provide step-by-step guides to quantitative and qualitative methods and analyses. Written in an accessible and engaging style, this text encourages deep engagement with its subject matter and is designed to inspire students to feel passionate for the research process as a whole. This second edition offers: A comprehensive guide to the process of conducting psychological research from the ground up — covering multiple methodologies, experimental and survey design, data analysis, ethics, and report writing An extensive range of quantitative methods together with detailed step-by-step guides to running analyses using SPSS Extended coverage of qualitative methods ‘Research Bites’ in every chapter: thought-provoking examples of issues raised by contemporary society and research An extensive range of additional learning aids in the textbook to help reinforce learning and revision A host of on-line resources for instructors and students available on publication at www.sagepub.co.uk/haslamandmcgarty2e. Electronic inspection copies are available for instructors.

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


Author: Miguel F. Acevedo
Publisher: CRC Press
ISBN: 1466592214
Category: Mathematics
Page: 557
View: 496

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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.

Statistics with R

A Beginner's Guide
Author: Robert Stinerock
Publisher: SAGE
ISBN: 152642147X
Category: Social Science
Page: 392
View: 6802

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The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for anyone hoping to: Complete an introductory course in statistics Prepare for more advanced statistical courses Gain the transferable analytical skills needed to interpret research from across the social sciences Learn the technical skills needed to present data visually Acquire a basic competence in the use of R. The book provides readers with the conceptual foundation to use applied statistical methods in everyday research. Each statistical method is developed within the context of practical, real-world examples and is supported by carefully developed pedagogy and jargon-free definitions. Theory is introduced as an accessible and adaptable tool and is always contextualized within the pragmatic context of real research projects and definable research questions. Author Robert Stinerock has also created a wide range of online resources, including: R scripts, complete solutions for all exercises, data files for each chapter, video and screen casts, and interactive multiple-choice quizzes.

An Introduction to R for Spatial Analysis and Mapping


Author: Chris Brunsdon,Lex Comber
Publisher: SAGE
ISBN: 1473911192
Category: Social Science
Page: 360
View: 706

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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.

Spatial Statistics and Geostatistics

Theory and Applications for Geographic Information Science and Technology
Author: Yongwan Chun,Daniel A Griffith
Publisher: SAGE
ISBN: 1446291626
Category: Reference
Page: 200
View: 8712

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"Ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. Difficult concepts are well explained and supported by excellent examples in R code, allowing readers to see how each of the methods is implemented in practice" - Professor Tao Cheng, University College London Focusing specifically on spatial statistics and including components for ArcGIS, R, SAS and WinBUGS, this book illustrates the use of basic spatial statistics and geostatistics, as well as the spatial filtering techniques used in all relevant programs and software. It explains and demonstrates techniques in: spatial sampling spatial autocorrelation local statistics spatial interpolation in two-dimensions advanced topics including Bayesian methods, Monte Carlo simulation, error and uncertainty. It is a systematic overview of the fundamental spatial statistical methods used by applied researchers in geography, environmental science, health and epidemiology, population and demography, and planning. A companion website includes digital R code for implementing the analyses in specific chapters and relevant data sets to run the R codes.

Methods in Human Geography

A guide for students doing a research project
Author: Robin Flowerdew,David M. Martin
Publisher: Routledge
ISBN: 1317873386
Category: Social Science
Page: 392
View: 3486

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First published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.

Applying Regression and Correlation

A Guide for Students and Researchers
Author: Jeremy Miles,Mark Shevlin
Publisher: SAGE
ISBN: 9780761962304
Category: Social Science
Page: 253
View: 6895

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This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach. The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then shows that this least squares model is actually a special case of a regression analysis and can be extended to deal with first one, and then more than one independent variable. Extending the model from the mean to a regression analysis provides a powerful, but simple, way of thinking about what students believe

Research Methods in Geography

A Critical Introduction
Author: Basil Gomez,John Paul Jones, III
Publisher: John Wiley & Sons
ISBN: 1444327739
Category: Science
Page: 480
View: 984

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This comprehensive textbook offers a conceptual and practical introduction to research methodology, data collection, and techniques used in both human and physical geography. Explores a full range of contemporary geographic techniques, including statistics, mathematical analysis, GIS, and remote sensing Unique in both content and organization, it brings together a team of internationally recognized specialists to create a balanced approach between physical geography, human geography, and research techniques Includes a series of foundational chapters offering multiple perspectives on the central questions in research methods Examines the conceptual frameworks and practical issues behind data acquisition and analysis, and how to interpret results Includes explanations of key terminology and exercises throughout

Geography

History and Concepts
Author: Arild Holt-Jensen
Publisher: SAGE Publications
ISBN: 1412946506
Category: Social Science
Page: 264
View: 5907

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Now in a fourth edition, this standard student reference has been totally revised and updated. It remains the definitive introduction to the history, philosophy, and methodology of human geography; now including a detailed explanation of key ideas in human geography's post-modernist and post-structuralist 'turns'. The book is organized into six sections: What is Geography?: an introduction to the discipline, and a discussion of its organization and basic research approaches, informed by the question 'what difference does it make to think geographically?' Foundations of Geography: an examination of geography from Antiquity to the 1950s, with a special focus on human/environment relation. Geography 1950-1980: a critical review of the development of geography as a spatial science. Paradigms and Revolutions: an analysis of paradigm shifts in geography, introducing students to key debates in the philosophy of science. Positivism and its Critics: a detailed discussion of positivism, critical theory, humanistic geography, behavioural geography, and structuralism. New Trends and Ideas developing critical responses: structuration theory, realism, post-structuralism, post-modernism, feminism and actor-network theory. This text explores complex ideas in an intelligible and accessible style. Illustrated throughout with research examples and explanations in text boxes, questions for discussion at the end of each chapter and a concept glossary, this is the essential student companion to the discipline.