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  • Produktbild: Statistical Methods for Geography
  • Produktbild: Statistical Methods for Geography

Statistical Methods for Geography A Student's Guide

Fr. 66.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Verkaufsrang

38336

Einband

Taschenbuch

Erscheinungsdatum

18.12.2019

Verlag

Sage Publications

Seitenzahl

432

Maße (L/B/H)

23.2/18.6/2.7 cm

Gewicht

1000 g

Auflage

5. Auflage

Sprache

Englisch

ISBN

978-1-5264-9880-9

Beschreibung

Rezension

This 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.

Nicholas Nagle

Produktdetails

Verkaufsrang

38336

Einband

Taschenbuch

Erscheinungsdatum

18.12.2019

Verlag

Sage Publications

Seitenzahl

432

Maße (L/B/H)

23.2/18.6/2.7 cm

Gewicht

1000 g

Auflage

5. Auflage

Sprache

Englisch

ISBN

978-1-5264-9880-9

EU-Ansprechpartner

Zeitfracht Medien GmbH
Ferdinand-Jühlke-Straße 7|99095|Erfurt|DE

Herstelleradresse

SAGE Publications
1 Oliver's Yard 55 City Road|EC1Y 1SP|London|GB

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Die Leseprobe wird geladen.
  • Produktbild: Statistical Methods for Geography
  • Produktbild: Statistical Methods for Geography
  • 1 INTRODUCTION TO STATISTICAL METHODS FOR GEOGRAPHY
    1.1 Introduction
    1.2 The scientific method
    1.3 Exploratory and confirmatory approaches in geography
    1.4 Probability and statistics
    1.5 Descriptive and inferential methods
    1.6 The nature of statistical thinking
    1.7 Special considerations for spatial data
    1.8 The structure of the book
    1.9 Datasets
    2 DESCRIPTIVE STATISTICS
    2.1 Types of data
    2.2 Visual descriptive methods
    2.3 Measures of central tendency
    2.4 Measures of variability
    2.5 Other numerical measures for describing data
    2.6 Descriptive spatial statistics
    2.7 Descriptive statistics in SPSS 25 for Windows
    Solved exercises
    Exercises
    3 PROBABILITY AND DISCRETE PROBABILITY DISTRIBUTIONS
    3.1 Introduction
    3.2 Sample spaces, random variables, and probabilities
    3.3 Binomial processes and the binomial distribution
    3.4 The geometric distribution
    3.5 The Poisson distribution
    3.6 The hypergeometric distribution
    3.7 Binomial tests in SPSS 25 for Windows
    Solved exercises
    Exercises
    4 CONTINUOUS PROBABILITY DISTRIBUTIONS AND PROBABILITY MODELS
    4.1 Introduction
    4.2 The uniform or rectangular distribution
    4.3 The normal distribution
    4.4 The exponential distribution
    4.5 Summary of discrete and continuous distributions
    4.6 Probability models
    Solved exercises
    Exercises
    5 INFERENTIAL STATISTICS: CONFIDENCE INTERVALS, HYPOTHESIS TESTING, AND SAMPLING
    5.1 Introduction to inferential statistics
    5.2 Confidence intervals
    5.3 Hypothesis testing
    5.4 Distributions of the random variable and distributions of the test statistic
    5.5 Spatial data and the implications of nonindependence
    5.6 Further discussion of the effects of deviations from the assumptions
    5.7 Sampling
    5.8 Some tests for spatial measures of central tendency and variability
    5.9 One-sample tests of means in SPSS 25 for Windows
    5.10 Two-sample t-tests in SPSS 25 for Windows
    Solved exercises
    Exercises
    6 ANALYSIS OF VARIANCE
    6.1 Introduction
    6.2 Illustrations
    6.3 Analysis of variance with two categories
    6.4 Testing the assumptions
    6.5 Consequences 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
    7 CORRELATION
    7.1 Introduction and examples of correlation
    7.2 More illustrations
    7.3 A significance test for r
    7.4 The correlation coefficient and sample size
    7.5 Spearman's rank correlation coefficient
    7.6 Additional topics
    7.7 Correlation in SPSS 25 for Windows
    7.8 Correlation in Excel
    Solved exercises
    Exercises
    8 DATA 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
    9 INTRODUCTION 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
    9.7 Illustration: 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
    10 MORE 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
    11 SPATIAL 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