Statistical methods for geographers

  • 3.67 MB
  • 1427 Downloads
  • English
by
Wiley , New York, Chichester
StatementW.A.V. Clark, P.L. Hosking.
ContributionsHosking, P. L.
ID Numbers
Open LibraryOL15054206M
ISBN 100471843172
OCLC/WorldCa433347597

Introduces basic statistical terms and techniques for displaying and describing distributions, and covers a range of working methods including probability and sampling, simple linear regression, extensions of the simple linear model to multiple regression and its assumptions, stepwise logit regression, and canonical and discriminant by: Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key statistical concepts and techniques.

Now in its fifth edition, this text is an accessible statistics ‘’ focused on student learning, and includes definitions, examples, and exercises by: Statistical literacy is one of the graduate attributes with which universities prepare their geography students. Statistical Methods for Geography - A Student’s Guide by Peter A.

Rogerson provides a fundamental and accessible statistics textbook tailored for geography with well-designed illustrations and exercises.

It is suitable for students of geography at all by: - An applied focus on methods for geographers: the text presents a detailed discussion of regression analysis and autocorrelation - the principal methods of statistical inference used in geography.

- An introduction to the principles of spatial analysis and spatial patterns, including probability and Statistical methods for geographers book models; hypothesis testing and sampling; analysis of variance; point /5(13).

Details Statistical methods for geographers PDF

Statistical formulas are provided in a million easily referenced places; accessible descriptive explanations are not.] Rogerson is exceptional at putting statistics into words.

If your studies or work involves spatial analysis, this book will provide a good review and reference. Note, this is not a book I would recommend for beginners in statistics.4/5(8). Statistical methods for geographers. A textbook for advanced undergraduate/first year graduate level courses in statistical methods in geography.

Presents methods useful in research design, hypothesis testing, and analyzing spatial and functional relationships. Open Library is an open, editable library catalog, building towards a web page for every book ever published.

Statistical methods for geographers by W. Clark,Wiley edition, in English Statistical methods for geographers ( edition) | Open LibraryCited by: Statistical Methods for Geography is a systematic introduction to the essential techniques that all students must understand to complete a module in statistical analysis.

It provides an integrated overview of spatial data and spatial data analysis. Quantitative and Statistical Approaches to Geography: A Practical Manual is a practical introduction to some quantitative and statistical techniques of use to geographers and related scientists.

This book is composed of 15 chapters, each begins with an outline of the purpose and necessary mechanics of a technique or group of techniques and is Book Edition: 1. In distinction to totally different texts that gloss over the conceptual foundations and focus solely on method, the book explains not solely the correct method to apply quantitative tools however as well as why and the best way they work.

Elementary Statistics for Geographers, Third Edition (3) Pdf Doc Free Download If you're looking. Widely adopted, this uniquely comprehensive text introduces the techniques and concepts of statistics in human and physical geography. Unlike other texts that gloss over the conceptual foundations and focus solely on method, the book explains not only how to apply quantitative tools but also why and how they work.

Students gain important skills for utilizing. Improvements in computer technology and computation have led quantitative geography in new directions. For example, the new field of geocomputation (see, e.g., Longley et al.

) lies at the intersection of computer science, geography, information science, mathematics, and statistics.

The recent book by Fotheringham et al. - An applied focus on methods for geographers: the text presents a detailed discussion of regression analysis and autocorrelation - the principal methods of statistical inference used in geography.

- An introduction to the principles of spatial analysis and spatial patterns, including probability and probability models; hypothesis testing and sampling; analysis of variance; point.

Statistical literacy is one of the graduate attributes with which universities prepare their geography students. Statistical Methods for Geography - A Student’s Guide by Peter A.

Rogerson provides a fundamental and accessible statistics textbook tailored for geography with well-designed illustrations and exercises. It is suitable for students of geography at all levels. 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 Geographers () by Clark, W.

V.; Hosking, P. and a great selection of similar New, Used 3/5(1). Brand new Book. A textbook for advanced undergraduate/first year graduate level courses in statistical methods in geography.

Presents methods useful in research design, hypothesis testing, and analyzing spatial and functional relationships. A textbook for advanced undergraduate/first year graduate level courses in statistical methods in geography. Presents methods useful in research design, hypothesis testing, and analyzing spatial and Read more.

"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/5.

Structured for classroom use, the book covers descriptive statistics, inferential statistics, statistical relationships between two variables, and modern methods of analysis.

Comprehensive and Raising the standard at which statistical methods are taught to geography students, this in-depth text both presents basic techniques and fully explores /5. 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. At a time where spatial quantitative methods are of increasing importance to all concerned with geographical analysis, Rogerson’s book is a nicely structured, well explained and up-to-date introduction to and survey of statistical methods in geography and the reasoning behind the : SAGE Publications.

It provides an integrated overview of spatial data and spatial data analysis. Key features include: An applied focus on methods for geographers: the text presents a detailed discussion of regression analysis and autocorrelation - the principal methods of statistical inference used in geography.

Statistical Methods for Geography: A Student’s Guide, Edition 4 - Ebook written by Peter A Rogerson. Read this book using Google Play Books app on your PC, android, iOS devices.

Download for offline reading, highlight, bookmark or take notes while you read Statistical Methods for Geography: A Student’s Guide, Edition 4.

Because geographic data often fail to meet distributional assumptions necessary for classical statistical procedures, geographers have been at the center of attempts to develop distribution-free methods for estimating statistical relationships among variables. Statistical literacy is one of the graduate attributes with which universities prepare their geography students.

Statistical Methods for Geography - A Student's Guide by Peter A. Rogerson provides a fundamental and accessible statistics textbook tailored for geography with well-designed illustrations and exercises. It is suitable for students of geography at all levels/5(11).

Get this from a library. Statistical methods for geography.

Description Statistical methods for geographers EPUB

[Peter Rogerson] -- 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. Since then, application of statistical techniques in social sciences has increased enormously making it essential for geographers to acquire training in elementary statistical methods, particularly after the sixties when statistical geography came to occupy a distinct part of the post-graduate syllabus.

Statistical literacy is one of the graduate attributes with which universities prepare their geography students. Statistical Methods for Geography - A Student's Guide by Peter A. Rogerson provides a fundamental and accessible statistics textbook tailored for geography with well-designed illustrations and exercises/5(18).

Statistical Methods is required studying for undergraduate modules in statistical evaluation, statistical strategies, and quantitative geography. because your eyes are used to the span of the printed book and it would be comfy for you to read in the same manner.

Test out different shapes or sizes until you find one with which you will be. Buy Statistical Methods for Geography: A Student's Guide 4 by Rogerson, Peter A (ISBN: ) from Amazon's Book /5(11).'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 ."Prof.

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Danny McCarroll is an excellent geographer with a lot of experience in teaching statistical methods for geographers. In this book, Prof. McCarroll aims to overcome the fear of numbers; instead encouraging students to focus on the geographical problems that interest them and use whatever statistical tools they need in order to tackle such.