Moses Eterigho Emetere – författare

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

This book introduces methods of re-processing images to extract numerical information that can be used to quantify the observables in environmental modelling. The habit of screening datasets leads to the discard of over 90% of the original dataset or images generated in the experiments or procedure.

This book introduces methods of re-processing images to extract numerical information that can be used to quantify the observables in environmental modelling. The habit of screening datasets leads to the discard of over 90% of the original dataset or images generated in the experiments or procedure.

This book introduces numerical methods for processing datasets which may be of any form, illustrating adequately computational resolution of environmental alongside the use of open source libraries. The adoption of various numerical methods in dataset treatment would certainly create a new scientific approach.