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: 1473911109
  • Category: Social Science
  • Page: 424
  • View: 6495
DOWNLOAD NOW »
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

Statistics for Research

With a Guide to SPSS

  • Author: George Argyrous
  • Publisher: SAGE
  • ISBN: 9781446245163
  • Category: Reference
  • Page: 608
  • View: 8415
DOWNLOAD NOW »
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

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: 1370
DOWNLOAD NOW »
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

Quantitative Geography

The Basics

  • Author: Richard Harris
  • Publisher: SAGE
  • ISBN: 1473933382
  • Category: Science
  • Page: 328
  • View: 536
DOWNLOAD NOW »
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

A Student’s Guide to Bayesian Statistics

  • Author: Ben Lambert
  • Publisher: SAGE
  • ISBN: 1526418266
  • Category: Social Science
  • Page: 520
  • View: 6880
DOWNLOAD NOW »
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

Quantitative Geography

Perspectives on Spatial Data Analysis

  • Author: A Stewart Fotheringham,Chris Brunsdon,Martin Charlton
  • Publisher: SAGE
  • ISBN: 9780761959489
  • Category: Science
  • Page: 270
  • View: 4360
DOWNLOAD NOW »
GIS.

A Student's Guide to Methodology

A Student's Guide to Methodology

  • Author: Peter Clough,Cathy Nutbrown
  • Publisher: SAGE
  • ISBN: 1446289435
  • Category: Reference
  • Page: 288
  • View: 5001
DOWNLOAD NOW »
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.

Applied Statistics Using Stata

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: 6679
DOWNLOAD NOW »
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

Researching the City

A Guide for Students

  • Author: Kevin Ward
  • Publisher: SAGE
  • ISBN: 144629272X
  • Category: Social Science
  • Page: 184
  • View: 8296
DOWNLOAD NOW »
‘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.

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: 736
DOWNLOAD NOW »
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

Statistics with R

A Beginner's Guide

  • Author: Robert Stinerock
  • Publisher: SAGE
  • ISBN: 152642147X
  • Category: Social Science
  • Page: 392
  • View: 8122
DOWNLOAD NOW »
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.

Spatial Statistics and Geostatistics

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: 2742
DOWNLOAD NOW »
"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.

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: 5612
DOWNLOAD NOW »
"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.

Methods in Human Geography

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: 4153
DOWNLOAD NOW »
First published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.

Applying Regression and Correlation

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: 2142
DOWNLOAD NOW »
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

Social Statistics for a Diverse Society

Social Statistics for a Diverse Society

  • Author: Chava Frankfort-Nachmias,Anna Leon-Guerrero
  • Publisher: SAGE Publications
  • ISBN: 1506347223
  • Category: Social Science
  • Page: 544
  • View: 7501
DOWNLOAD NOW »
This Eighth Edition of Social Statistics for a Diverse Society continues to emphasize intuition and common sense, while demonstrating that social science is a constant interplay between methods of inquiry and important social issues. Recognizing that today’s students live in a world of growing diversity and richness of social differences, authors Chava Frankfort-Nachmias and Anna Leon-Guerrero use research examples that show how statistics is a tool for understanding the ways in which race, class, gender, and other categories of experience shape our social world and influence social behavior. In addition, guides for reading and interpreting the research literature help students acquire statistical literacy, while SPSS demonstrations and a rich variety of exercises help them hone their problem-solving skills.

Research Methods and Statistics for Public and Nonprofit Administrators

Research Methods and Statistics for Public and Nonprofit Administrators

A Practical Guide

  • Author: Masami Nishishiba,Matthew Jones,Mariah Kraner
  • Publisher: SAGE Publications
  • ISBN: 1483321460
  • Category: Political Science
  • Page: 392
  • View: 6915
DOWNLOAD NOW »
Research Methods and Statistics for Public and Nonprofit Administrators: A Practical Guide is a comprehensive, easy-to-read, core text that thoroughly prepares readers to apply research methods and data analysis to the professional environments of public and non-profit administration. The authors expertly incorporate original case examples to demonstrate concepts using “real actors,” facing specific scenarios, in which research methods must be applied. This unique approach—presented in language accessible to both students new to research as well as current practitioners—guides the reader in fully understanding the research options detailed throughout the text.

Research Methods and Statistics in Psychology

Research Methods and Statistics in Psychology

  • Author: S Alexander Haslam,Craig McGarty
  • Publisher: SAGE
  • ISBN: 1446297586
  • Category: Psychology
  • Page: 544
  • View: 5324
DOWNLOAD NOW »
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.

An Introduction to Statistical Problem Solving in Geography

An Introduction to Statistical Problem Solving in Geography

Second Edition

  • Author: J. Chapman McGrew, Jr.,Charles B. Monroe
  • Publisher: Waveland Press
  • ISBN: 1478609621
  • Category: Science
  • Page: 254
  • View: 1080
DOWNLOAD NOW »
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.