Data analysis and statistics for geography, environmental science, and engineering / Miguel F. Acevedo

Includes bibliographical references (pages 521-523) and index

Table Of Contents: Preface Acknowledgments Author PART I Introduction to Probability, Statistics, Time Series, and Spatial Analysis Chapter 1 Introduction Chapter 2 Probability Theory Chapter 3 Random Variables, Distributions, Moments, and Statistics Chapter 4 Exploratory Analysis and Introduction to Inferential Statistics Chapter 5 More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance Chapter 6 Regression Chapter 7 Stochastic or Random Processes and Time Series Chapter 8 Spatial Point Patterns PART II Matrices, Tempral and Spatial Autoregressive Processes, and Multivariate Analysis Chapter 9 Matrices and Linear Algebra Chapter 10 Multivariate Models Chapter 11 Dependent Stochastic Processes and Time Series Chapter 12 Geostatistics: Kriging Chapter 13 Spatial Auto-Correlation and Auto-Regression Chapter 14 Multivariate Analysis I: Reducing Dimensionality Chapter 15 Multivariate Analysis II: Identifying and Developing Relationships among Observations and Variables Supplementary Reading Bibliography Index