Numerical Methods in Environmental Data Analysis introduces environmental scientists to the numerical methods available to help answer research questions through data analysis. One challenge in data analysis is misrepresentation of datasets that are relevant directly or indirectly to the research. This book illustrates new ways of screening dataset or images for maximum utilization, introducing environmental modeling, numerical methods, and computations techniques in data analysis. Throughout the book, the author includes case studies that provide guidance on how to translate research questions into appropriate models.
Individuals working with data sets or images generated from environmental monitoring centers or satellites will find this book to be a concise guide for analyzing and interpreting their data.
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Table of Contents
1. The concept of Data in Environmental Modeling 2. Introduction to Numerical Methods 3. Introduction to Computational and Statistical Techniques 4. Overview on Existing Data Analytics 5. Data Treatment 6. Conclusion
