Data Analysis and Statistics for Geography, Environmental Science, and Engineering

✍ Scribed by Miguel F. Acevedo (Author)

• Publisher: CRC Press
• Year: 2012
• Leaves: 549
• Edition: 1
• Category: Library

✦ Synopsis

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

✦ Table of Contents

Part I Introduction to Probability, Statistics, Time Series, and Spatial Analysis: Introduction. Probability Theory. Random Variables, Distributions, Moments, and Statistics. Exploratory Analysis and Introduction to Inferential Statistics. More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance. Regression. Stochastic or Random Processes and Time Series. Spatial Point Patterns. Part II Matrices, Tempral and Spatial Autoregressive Processes, and Multivariate Analysis: Matrices and Linear Algebra. Multivariate Models. Dependent Stochastic Processes and Time Series. Geostatistics: Kriging. Spatial Auto-Correlation and Auto-Regression. Multivariate Analysis I: Reducing Dimensionality. Multivariate Analysis II: Identifying and Developing Relationships among Observations and Variables. Bibliography. Index.

✦ Subjects

Environment & Agriculture;Agriculture & Environmental Sciences;Environmental Sciences;Earth Sciences;Earth Sciences;Geochemistry;Geostatistics