Numerical Methods in Environmental Data Analysis

Moses Emetere received his doctorate degrees in Solid State Physics (PhD) and Atmospheric Physics (PhD). He has authored two textbooks and over a hundred and fifty peer-reviewed international papers listed on the Thompson Reuters indexed journals and Scopus indexed journals. He is faculty at Covenant University, Nigeria and a postdoctoral fellow at University of Johannesburg. He won the prestigious AU/TWAS Young Scientist National Award (Earth and Life Sciences) in 2015. In addition, he has won travel grants and national awards and is an editorial member of several international journals. He has been invited as conference speaker to some notable conferences in China and the United States. Dr. Emetere is involved in collaborative research with scientists from Nigeria, Malaysia, Greece, South Africa, Germany, France and Iran.

• 1. The concept of Data in Environmental Modeling2. Introduction to Numerical Methods3. Introduction to Computational and Statistical Techniques4. Overview on Existing Data Analytics5. Data Treatment6. Conclusion

"...explores the complex interplay between environmental research and the indispensable data that drive it forward. By leveraging this significant association, Emetere’s scholarly contribution stands out as a seminal masterpiece, leading its audience to a profound exploration of environmental data’s intricate mathematical, computational, and statistical aspects. The book is effectively structured into nine chapters, each meticulously arranged, resulting in a remarkable voyage.... This book is a remarkable demonstration of Emetere’s deep-seated knowledge of his discipline.... In our view, immersing yourself in these works will broaden your understanding and heighten your appreciation for Emetere’s scholarly pursuits. We highly recommend Emetere’s book on environmental science. Its depth and breadth showcase the author’s profound expertise, making it more than just a textbook—it is a practical guide for both novices and experts. Despite the complexity of the subject matter, the book remains accessible, bridging the gap between theory and real-world application. In a time when accurate data analytics and integrity are paramount due to the pressing challenges of climate change, the book’s emphasis on these aspects is timely and invaluable." --Mudarris Mudarris and Desy Permatasari, Journal of Agricultural, Biological, and Environmental Statistics