Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustain

chapter 1|26 pages

- Introduction

chapter 2|30 pages

- Probability Theory

chapter 6|48 pages

- Regression

chapter 8|50 pages

- Spatial Point Patterns

chapter 9|24 pages

- Matrices and Linear Algebra

chapter 10|36 pages

- Multivariate Models

chapter 12|24 pages

- Geostatistics: Kriging