Spatiotemporal Analysis of Extreme Hydrological Events

This book PDF is perfect for those who love Science genre, written by Gerald Corzo and published by Elsevier which was released on 20 November 2018 with total hardcover pages 192. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Spatiotemporal Analysis of Extreme Hydrological Events books below.

Spatiotemporal Analysis of Extreme Hydrological Events
Author : Gerald Corzo
File Size : 49,5 Mb
Publisher : Elsevier
Language : English
Release Date : 20 November 2018
ISBN : 9780128117316
Pages : 192 pages
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Spatiotemporal Analysis of Extreme Hydrological Events by Gerald Corzo Book PDF Summary

Spatio-temporal Analysis of Extreme Hydrological Events offers an extensive view of the experiences and applications of the latest developments and methodologies for analyzing and understanding extreme environmental and hydrological events. The book addresses the topic using spatio-temporal methods, such as space-time geostatistics, machine learning, statistical theory, hydrological modelling, neural network and evolutionary algorithms. This important resource for both hydrologists and statisticians interested in the framework of spatial and temporal analysis of hydrological events will provide users with an enhanced understanding of the relationship between magnitude, dynamics and the probability of extreme hydrological events. Presents spatio-temporal processes, including multivariate dynamic modelling Provides varying methodological approaches, giving the readers multiple hydrological modelling information to use in their work Includes a variety of case studies making the context of the book relatable to everyday working situations

Spatiotemporal Analysis of Extreme Hydrological Events

Spatio-temporal Analysis of Extreme Hydrological Events offers an extensive view of the experiences and applications of the latest developments and methodologies for analyzing and understanding extreme environmental and hydrological events. The book addresses the topic using spatio-temporal methods, such as space-time geostatistics, machine learning, statistical theory, hydrological modelling, neural network

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