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Numerical Methods in Environmental Data Analysis

Autor Moses Eterigho Emetere
en Limba Engleză Paperback – 18 iul 2022
Numerical Methods in Environmental Data Analysisintroduces 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.


  • Bridges the theoretical underpinnings of modeling to research
  • Illustrates the computational resolution of environmental issues alongside the use of open-source software
  • Provides information on the use of analogue versus digital data treatment processes
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Specificații

ISBN-13: 9780128189719
ISBN-10: 0128189711
Pagini: 240
Dimensiuni: 191 x 235 x 18 mm
Greutate: 0.42 kg
Editura: ELSEVIER SCIENCE

Public țintă

Primary: Research students and professionals in environmental scienceSecondary: Research students and professionals in civil and chemical engineering, environmental chemistry, atmospheric physics, space physics, environmental biology, and renewable energy

Cuprins

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


Descriere

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.

 

 

 

  • Bridges the theoretical underpinnings of modeling to research
  • Illustrates the computational resolution of environmental issues alongside the use of open-source software
  • Provides information on the use of analogue versus digital data treatment processes