Statistical methods for geography : a student's guide /: a student's guide. (2019)

• Record Type: Book
• Further Information: Note: Peter A. Rogerson.
• Authors: Rogerson, Peter
• Contents: 1INTRODUCTION TO STATISTICAL METHODS FOR GEOGRAPHY; 1.1Introduction; 1.2The scientific method; 1.3Exploratory and confirmatory approaches in geography; 1.4Probability and statistics; 1.5Descriptive and inferential methods; 1.6The nature of statistical thinking; 1.7Special considerations for spatial data; 1.8The structure of the book; 1.9Datasets; 2DESCRIPTIVE STATISTICS; 2.1Types of data; 2.2Visual descriptive methods; 2.3Measures of central tendency; 2.4Measures of variability; 2.5Other numerical measures for describing data; 2.6Descriptive spatial statistics; 2.7Descriptive statistics in SPSS 25 for Windows; Solved exercises; Exercises; 3PROBABILITY AND DISCRETE PROBABILITY DISTRIBUTIONS; 3.1Introduction; 3.2Sample spaces, random variables, and probabilities; 3.3Binomial processes and the binomial distribution; 3.4The geometric distribution; 3.5The Poisson distribution; 3.6The hypergeometric distribution; 3.7Binomial tests in SPSS 25 for Windows; Solved exercises; Exercises; 4CONTINUOUS PROBABILITY DISTRIBUTIONS AND PROBABILITY MODELS; 4.1Introduction; 4.2The uniform or rectangular distribution; 4.3The normal distribution; 4.4The exponential distribution; 4.5Summary of discrete and continuous distributions; 4.6Probability models; Solved exercises; Exercises; 5INFERENTIAL STATISTICS: CONFIDENCE INTERVALS, HYPOTHESIS TESTING, AND SAMPLING; 5.1Introduction to inferential statistics; 5.2Confidence intervals; 5.3Hypothesis testing; 5.4Distributions of the random variable and distributions of the test statistic; 5.5Spatial data and the implications of nonindependence; 5.6Further discussion of the effects of deviations from the assumptions; 5.7Sampling; 5.8Some tests for spatial measures of central tendency and variability; 5.9One-sample tests of means in SPSS 25 for Windows; 5.10 Two-sample t-tests in SPSS 25 for Windows; Solved exercises; Exercises; 6ANALYSIS OF VARIANCE; 6.1Introduction; 6.2Illustrations; 6.3Analysis of variance with two categories; 6.4Testing the assumptions; 6.5Consequences of failure to meet assumptions; 6.6 The nonparametric Kruskal–Wallis test; 6.7 The nonparametric median test; 6.8 Contrasts; 6.9 One-way ANOVA in SPSS 25 for Windows; 6.10 One-way ANOVA in Excel; Solved exercises; Exercises; 7CORRELATION; 7.1Introduction and examples of correlation; 7.2More illustrations; 7.3A significance test for r; 7.4The correlation coefficient and sample size; 7.5Spearman’s rank correlation coefficient; 7.6Additional topics; 7.7Correlation in SPSS 25 for Windows; 7.8Correlation in Excel; Solved exercises; Exercises; 8DATA REDUCTION: FACTOR ANALYSIS AND CLUSTER ANALYSIS; 8.1 Introduction; 8.2 Factor analysis and principal components analysis; 8.3 Cluster analysis; 8.4 Data reduction methods in SPSS 25 for Windows; Exercises; 9INTRODUCTION TO REGRESSION ANALYSIS; 9.1 Introduction; 9.2 Fitting a regression line to a set of bivariate data; 9.3 Regression in terms of explained and unexplained sums of squares; 9.4 Assumptions of regression; 9.5 Standard error of the estimate; 9.6 Tests for ß; 9.7Illustration: state aid to secondary schools; 9.8 Linear versus nonlinear models; 9.9 Regression in SPSS 25 for Windows; 9.10 Regression in Excel; Solved exercises; Exercises; 10MORE ON REGRESSION; 10.1 Multiple regression; 10.2 Misspecification error; 10.3 Dummy variables; 10.4 Multiple regression illustration: species in the Galápagos Islands; 10.5 Variable selection; 10.6 Regression analysis on component scores; 10.7 Categorical dependent variable; 10.8 A summary of some problems that can arise in regression analysis; 10.9 Multiple and logistic regression in SPSS 25 for Windows; Exercises; 11SPATIAL DATA, SPATIAL PATTERNS, AND SPATIAL REGRESSION; 11.1 Introduction; 11.2 The analysis of point patterns; 11.3 Geographic patterns in areal data; 11.4 Local statistics; 11.5 Introduction to spatial aspects of regression; 11.6 Spatial lag model and neighborhood-based explanatory variables; 11.7 Spatial regression: autocorrelated errors; 11.8 Geographically weighted regression; 11.9 Illustration; 11.10 Finding Moran’s I using SPSS 25 for Windows; 11.11 Finding Moran’s I using GeoDa; 11.12 Spatial Regression with GeoDa 1.4.6; Exercises; EPILOGUE; ANSWERS FOR SELECTED EXERCISES; APPENDIX A: STATISTICAL TABLES; APPENDIX B: MATHEMATICAL CONVENTIONS AND NOTATION; Bibliography; Index;
• Edition: Fifth edition
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2019
• Extent: 1 online resource, illustrations, maps
• Subjects: 910.015195; Geography -- Statistical methods; Spatial analysis (Statistics)
• Languages: English
• ISBNs: 9781529700213
• Related ISBNs: 9781526498816; 9781526498809
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.