Numerical methods in environmental data analysis / Moses Eterigho Emetere.

Author/creator Emetere, Moses Eterigho
Format Electronic
Publication InfoAmsterdam : Elsevier, [2022]
Descriptionix, 229 pages : illustrations, maps ; 24 cm
Supplemental ContentFull text available from Elsevier SD eBook - Environmental Science 2022
Subjects

Physical mediummonochrome
Physical mediumblack and white
Physical mediumillustration
Physical mediummap
Contents Overview on data treatment -- Case study in environmental pollution research -- Typical environmental challenges -- Generating environmental data : progress and shortcoming -- Root finding technique in environmental research -- Numerical differential analysis in environmental research -- Numerical integration application to environmental data -- Numerical interpolation in environmental research -- Environmental/atmospheric numerical models formulations : model review.
Abstract "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"--Page 4 of cover.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2023277225
ISBN9780128189719 (print)
ISBN0128189711 (print)
ISBN9780128189726 (eBook)
ISBN012818972X (eBook)