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This practical, classroom-tested guide to modeling methodology explains how to implement simulations and analyze the results using a free, open-source software platform. Based on the author's many years of teaching graduate and undergraduate students in several countries, this textbook brings together principles of modeling methods and theoretic
This practical, classroom-tested textbook helps readers learn quantitative methodology, including how to implement advanced analysis methods using an open-source software platform. Based on the author's many years of teaching undergraduate and graduate students in several countries, the book brings together principles of statistics and probabili
This practical, classroom-tested textbook helps readers learn quantitative methodology, including how to implement advanced analysis methods using an open-source software platform. Based on the author¿s many years of teaching undergraduate and graduate students in several countries, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applied to a variety of geographical and environmental models. Theory is accompanied by practical hands-on computer exercises, progressing from easy to difficult. The text also presents a review of mathematical methods, making the book self-contained.
This practical, classroom-tested guide to modeling methodology explains how to implement simulations and analyze the results using a free, open-source software platform. Based on the author¿s many years of teaching graduate and undergraduate students in several countries, this textbook brings together principles of modeling methods and theoretical foundations for a variety of ecological and environmental models. Theory is accompanied by practical hands-on computer exercises, progressing from easy to difficult. The text also presents a full review of mathematical methods, which makes the book self-contained.
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