Practical Statistics for Geographers and Earth Scientists, 2 ed
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※上記表示の販売価格は割引適用後の価格です 出版済み 3-5週間でお届けいたします。 Author: Walford, Nigel (Kingston University, UK) Publisher: Wiley ISBN: 9781119526971 Cover: PAPERBACK Date: 2025年02月 DESCRIPTION A practice-oriented and accessible introduction to geographical statistics In the newly revised Second Edition of Practical Statistics for Geographers and Earth Scientists, distinguished researcher Nigel Walford delivers an authoritative and easy-to-follow introduction to the principles and applications of statistical analysis in a geographical context. The book assists students in the development of competence in the statistical procedures necessary to conduct independent investigations, field-work, and related geographical research projects. The book explains statistical techniques relevant to geographical, geospatial, earth, and environmental data. It employs graphics and mathematical notation for maximum clarity. Guidance is provided on how to formulate research questions to ensure that the correct data is collected for the chosen analysis method. This new edition incorporates a new section on exploratory spatial analysis and spatial statistics. It also offers: * A thorough introduction to first principles in the statistical analysis of geographical data, including discussions of the quality, content, collection, and acquisition of geographical data * In-depth treatments of geographical data exploration, including the taking of statistical measures or quantities, as well as frequency distributions, probability, and hypotheses * Comprehensive explorations of testing times, including parametric and nonparametric tests * Insightful discussions of relationship investigation, including correlation and regression, as well as the spatial aspects of geographical data Perfect for undergraduates pursuing a degree in geography, Practical Statistics for Geographers and Earth Scientists will also be a valuable tool for students in other earth and environmental sciences. TABLE OF CONTENTS Section I First Principles 1 1 What’s in a Number? 3 2 Geographical Data: Quantity and Content 19 3 Geographical Data: Collection and Acquisition 51 Section II Exploring Geographical Data 87 4 Statistical Measures (or Quantities) 89 5 Frequency Distributions, Probability and Hypotheses 123 Section III Testing Times 161 6 Parametric Tests 163 7 Non-parametric Tests 197 Section IV Forming an Association or Relationship 233 8 Correlation 235 9 Regression 267 Section V Explicitly Spatial 307 10 Exploring Spatial Aspects of Geographical Data 309 11 Analysis and Modelling of Spatial Data 337 Section VI Practical Application 407 12 Practicalities of Applying, Interpreting and Visualising Quantitative Analysis in Geographical Projects 409
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