Data Analysis and Statistics for Geography Environmental Science and Engineering 1st Acevedo Solution Manual

Product details:
ISBN 9780367866792

Author: Miguel F. Acevedo

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 sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines.

Table 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.

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