{"product_id":"statistical-methods-for-geography-a-student-s-guide-9781526498809","title":"Statistical Methods for Geography: A Student’s","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e\u003cem\u003eStatistical Methods for Geography\u003c\/em\u003e\u003c\/strong\u003e 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.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eThe fifth edition of this bestselling text includes:\u003c\/p\u003e \u003cp\u003e·        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.\u003c\/p\u003e \u003cp\u003e·        New examples from physical geography and additional real-world examples.\u003c\/p\u003e \u003cp\u003e·        Updated in-text and online exercises along with downloadable datasets.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eThis is the only text you’ll need for undergraduate courses in statistical analysis, statistical methods, and quantitative geography.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book has become the gold standard for teaching statistical methods to geographers. With a friendly and accessible manner, the author covers introductory statistics while revealing the quirkiness of spatial data. It is suitable for a one-year undergraduate class in geography, and there is no better reference for students transitioning to graduate studies. While always including rich examples form human geography, this new edition includes more examples from physical geography that will appeal to a wider audience.\u003c\/p\u003e -- Nicholas Nagle\u003cbr\u003e\u003cp\u003eAbsolutely fabulous resource that connects the utility of statistics for addressing geographic problems and issues. I have long used this text in teaching and research, beginning with the first edition in 2001. The continued revision and updating make this the premier text for introductory quantitative geographical inquiry.\u003c\/p\u003e -- Alan Murray\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1\tINTRODUCTION TO STATISTICAL METHODS FOR GEOGRAPHY\t    1.1\tIntroduction\t    1.2\tThe scientific method\t    1.3\tExploratory and confirmatory approaches in geography\t    1.4\tProbability and statistics\t    1.5\tDescriptive and inferential methods\t    1.6\tThe nature of statistical thinking\t    1.7\tSpecial considerations for spatial data\t    1.8\tThe structure of the book\t    1.9\tDatasets  2\tDESCRIPTIVE STATISTICS\t    2.1\tTypes of data\t    2.2\tVisual descriptive methods\t    2.3\tMeasures of central tendency\t    2.4\tMeasures of variability\t    2.5\tOther numerical measures for describing data\t    2.6\tDescriptive spatial statistics\t    2.7\tDescriptive statistics in SPSS 25 for Windows\t    Solved exercises\t    Exercises\t  3\tPROBABILITY AND DISCRETE PROBABILITY DISTRIBUTIONS\t    3.1\tIntroduction\t    3.2\tSample spaces, random variables, and probabilities\t    3.3\tBinomial processes and the binomial distribution\t    3.4\tThe geometric distribution\t    3.5\tThe Poisson distribution\t    3.6\tThe hypergeometric distribution\t    3.7\tBinomial tests in SPSS 25 for Windows\t    Solved exercises\t    Exercises\t  4\tCONTINUOUS PROBABILITY DISTRIBUTIONS AND PROBABILITY MODELS    4.1\tIntroduction\t    4.2\tThe uniform or rectangular distribution\t    4.3\tThe normal distribution\t    4.4\tThe exponential distribution\t    4.5\tSummary of discrete and continuous distributions\t    4.6\tProbability models\t    Solved exercises\t    Exercises\t  5\tINFERENTIAL STATISTICS: CONFIDENCE INTERVALS, HYPOTHESIS TESTING, AND SAMPLING    5.1\tIntroduction to inferential statistics\t    5.2\tConfidence intervals\t    5.3\tHypothesis testing\t    5.4\tDistributions of the random variable and distributions of the test statistic\t    5.5\tSpatial data and the implications of nonindependence\t    5.6\tFurther discussion of the effects of deviations from the assumptions\t    5.7\tSampling\t    5.8\tSome tests for spatial measures of central tendency and variability\t    5.9\tOne-sample tests of means in SPSS 25 for Windows\t    5.10 Two-sample t-tests in SPSS 25 for Windows\t    Solved exercises\t    Exercises\t  6\tANALYSIS OF VARIANCE\t    6.1\tIntroduction\t    6.2\tIllustrations\t    6.3\tAnalysis of variance with two categories\t    6.4\tTesting the assumptions\t    6.5\tConsequences of failure to meet assumptions\t    6.6 The nonparametric Kruskal–Wallis test\t    6.7 The nonparametric median test\t    6.8 Contrasts\t    6.9 One-way ANOVA in SPSS 25 for Windows\t    6.10 One-way ANOVA in Excel\t    Solved exercises\t    Exercises\t     7\tCORRELATION\t    7.1\tIntroduction and examples of correlation\t    7.2\tMore illustrations\t    7.3\tA significance test for r\t    7.4\tThe correlation coefficient and sample size\t    7.5\tSpearman’s rank correlation coefficient\t    7.6\tAdditional topics\t    7.7\tCorrelation in SPSS 25 for Windows\t    7.8\tCorrelation in Excel\t    Solved exercises\t    Exercises\t 8\tDATA REDUCTION: FACTOR ANALYSIS AND CLUSTER ANALYSIS    8.1 Introduction\t    8.2 Factor analysis and principal components analysis\t    8.3 Cluster analysis\t    8.4 Data reduction methods in SPSS 25 for Windows\t    Exercises\t  9\tINTRODUCTION TO REGRESSION ANALYSIS\t    9.1 Introduction\t    9.2 Fitting a regression line to a set of bivariate data\t    9.3 Regression in terms of explained and unexplained sums of squares\t    9.4 Assumptions of regression\t    9.5 Standard error of the estimate\t    9.6 Tests for ß\t    9.7\tIllustration: state aid to secondary schools\t    9.8 Linear versus nonlinear models\t    9.9 Regression in SPSS 25 for Windows\t    9.10 Regression in Excel\t    Solved exercises\t    Exercises\t  10\tMORE ON REGRESSION\t    10.1 Multiple regression\t    10.2 Misspecification error\t    10.3 Dummy variables\t    10.4 Multiple regression illustration: species in the Galápagos Islands\t    10.5 Variable selection\t    10.6 Regression analysis on component scores    10.7 Categorical dependent variable\t    10.8 A summary of some problems that can arise in regression analysis\t    10.9 Multiple and logistic regression in SPSS 25 for Windows\t    Exercises\t 11\tSPATIAL DATA, SPATIAL PATTERNS, AND SPATIAL REGRESSION    11.1 Introduction\t    11.2 The analysis of point patterns\t    11.3 Geographic patterns in areal data\t    11.4 Local statistics\t    11.5 Introduction to spatial aspects of regression\t    11.6 Spatial lag model and neighborhood-based explanatory variables\t    11.7 Spatial regression: autocorrelated errors\t    11.8 Geographically weighted regression\t    11.9 Illustration\t    11.10 Finding Moran’s I using SPSS 25 for Windows\t    11.11 Finding Moran’s I using GeoDa\t    11.12 Spatial Regression with GeoDa 1.4.6\t    Exercises\t EPILOGUE\t ANSWERS FOR SELECTED EXERCISES\t APPENDIX A: STATISTICAL TABLES\t APPENDIX B: MATHEMATICAL CONVENTIONS AND NOTATION\t Bibliography\t Index","brand":"Sage Publications Ltd","offers":[{"title":"Default Title","offer_id":48739955867991,"sku":"9781526498809","price":53.6,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781526498809.jpg?v=1720053507","url":"https:\/\/bookcurl.com\/products\/statistical-methods-for-geography-a-student-s-guide-9781526498809","provider":"Book Curl","version":"1.0","type":"link"}