Numerical Methods in Environmental Data Analysis - Brossura

Emetere, Moses Eterigho

Brossura

ISBN 10: 0128189711 ISBN 13: 9780128189719

Casa editrice: Elsevier, 2022

Riassunto

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.

Su questo libro

Informazioni sull?autore

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.

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Elsevier
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 0128189711
• ISBN 13: 9780128189719
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 240
• Contatto del produttore: non disponibile
• Persona responsabile: LSWR Group; b.criscuolo@lswr.it; ; Via Spadolini, 7; Milano; Italia