Statistical Methods in Geographical Studies
| Author | : Aslam Mahmood |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 1998 |
| Genre | : |
| ISBN | : 9788185891170 |
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Statistical Methods In Geographical Studies PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Statistical Methods In Geographical Studies PDF full book. Access full book title Statistical Methods In Geographical Studies.
Statistical Methods for Geography
| Author | : Peter A. Rogerson |
| Publisher | : SAGE |
| Total Pages | : 433 |
| Release | : 2019-12-04 |
| Genre | : Reference |
| ISBN | : 152970023X |
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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 ‘101’ focused on student learning, and includes definitions, examples, and exercises throughout. Fully integrated with online self-assessment exercises and video overviews, it explains everything required to get full credits for any undergraduate statistics module. The fifth edition of this bestselling text includes: · Coverage of descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis. · New examples from physical geography and additional real-world examples. · Updated in-text and online exercises along with downloadable datasets. This is the only text you’ll need for undergraduate courses in statistical analysis, statistical methods, and quantitative geography.
Statistical Analysis of Geographical Data
| Author | : Simon James Dadson |
| Publisher | : John Wiley & Sons |
| Total Pages | : 252 |
| Release | : 2017-03-08 |
| Genre | : Science |
| ISBN | : 1118525140 |
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Statistics Analysis of Geographical Data: An Introduction provides a comprehensive and accessible introduction to the theory and practice of statistical analysis in geography. It covers a wide range of topics including graphical and numerical description of datasets, probability, calculation of confidence intervals, hypothesis testing, collection and analysis of data using analysis of variance and linear regression. Taking a clear and logical approach, this book examines real problems with real data from the geographical literature in order to illustrate the important role that statistics play in geographical investigations. Presented in a clear and accessible manner the book includes recent, relevant examples, designed to enhance the reader’s understanding.
Statistical Methods and the Geographer
| Author | : Stanley Gregory |
| Publisher | : Routledge |
| Total Pages | : 257 |
| Release | : 2014-09-25 |
| Genre | : Science |
| ISBN | : 1317873114 |
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First published in 1978. For the non-mathematician, however, even the simpler introductory books on statistics often raise considerable problems. In this second edition First, some attention has been given to the problem of the transformation of data in order to reinforce the appreciation of the need for normally-distributed data for the use of so many techniques. Secondly, the use of probability paper, at least in simple terms, has been introduced to illustrate the ways in which the labour of probability assessments can be circumvented. Thirdly, radical changes have been made, plus considerable expansion added, to the theme of non-parametric testing, to provide a more systematic approach to what is a most important group of possible techniques for geographers. Fourthly, change and expansion are also reflected in the sections on correlation and regression, including some simple consideration of curvilinear relationships and the presentation of computational techniques more geared to the use of desk calculators rather than long-hand methods. Finally, the bibliography has also been expanded, to incorporate a wider range of books on techniques and a selection of research papers using such techniques in a geographical (or near-geographical) context.
Research Methods in Geography
| Author | : Basil Gomez |
| Publisher | : John Wiley & Sons |
| Total Pages | : 480 |
| Release | : 2010-06-29 |
| Genre | : Science |
| ISBN | : 1444327739 |
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This comprehensive textbook offers a conceptual and practicalintroduction to research methodology, data collection, andtechniques used in both human and physical geography. Explores a full range of contemporary geographic techniques,including statistics, mathematical analysis, GIS, and remotesensing Unique in both content and organization, it brings together ateam of internationally recognized specialists to create a balancedapproach between physical geography, human geography, and researchtechniques Includes a series of foundational chapters offering multipleperspectives on the central questions in research methods Examines the conceptual frameworks and practical issues behinddata acquisition and analysis, and how to interpret results Includes explanations of key terminology and exercisesthroughout
Statistical Methods for Geographers
| Author | : W. A. V. Clark |
| Publisher | : John Wiley & Sons |
| Total Pages | : 536 |
| Release | : 1986-04-04 |
| Genre | : Mathematics |
| ISBN | : |
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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. 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 analysis.
Statistical Techniques in Geographical Analysis
| Author | : Gareth Shaw |
| Publisher | : Taylor & Francis Group |
| Total Pages | : 378 |
| Release | : 1994 |
| Genre | : Science |
| ISBN | : |
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The second edition of this widely-used undergraduate textbook is shorter than its predecessor, but now contains a thorough treatment of computational methods. It aims to cover degree students' needs in statistical methods from their first to final years. Assuming no more than basic secondary or high school mathematics, the authors provide coverage of a range of techniques, from simple descriptive to parametric and non-parametric methods in bivariate and multivariate settings. Almost invariably each technique is introduced 'manually', followed up by the appropriate application using either the SPSS or MINITAB software packages - the two statistical packages most widely used by geographers. Topics are introduced in an orderly sequence, reinforced by worked examples, so that the book can be equally valuable as part of a teaching scheme, as an aid in distance learning or as an accessible reference source on the different techniques.
Statistical Methods for Geography
| Author | : Peter A Rogerson |
| Publisher | : SAGE |
| Total Pages | : 370 |
| Release | : 2010-01-21 |
| Genre | : Social Science |
| ISBN | : 1446245152 |
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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
Quantitative Geography
| Author | : Richard Harris |
| Publisher | : SAGE |
| Total Pages | : 329 |
| Release | : 2016-09-13 |
| Genre | : Science |
| ISBN | : 1473933390 |
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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.
Practical Statistics for Geographers and Earth Scientists
| Author | : Nigel Walford |
| Publisher | : John Wiley & Sons |
| Total Pages | : 385 |
| Release | : 2011-07-05 |
| Genre | : Science |
| ISBN | : 1119957028 |
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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
