Description
Discover the groundbreaking resource, Geostatistical Functional Data Analysis, designed for researchers and professionals in the fields of geostatistics and functional data analysis. This comprehensive book delves into the innovative intersection of spatial analysis and functional data, presenting a unified modeling approach for datasets with spatial and spatio-temporal correlations. With contributions from leading experts, this guide equips readers with essential methodologies applicable to real-world scenarios where functional data showing spatial dependencies are prevalent.
This essential text provides:
- An extensive introduction to spatial kriging methodology tailored for functional data analysis.
- A detailed treatment of classical statistical methods adapted for the functional case, extending their application to spatially correlated data.
- Practical guidance on ANOVA, regression, and clustering techniques to analyze spatial correlation within functional data collections.
- In-depth comparisons of spatio-temporal data analysis and functional data analysis, enriching your understanding of both fields.
Whether you are a mathematician, statistician, or postgraduate student, Geostatistical Functional Data Analysis serves as an invaluable reference for advancing your research and practical applications. Join the forefront of geostatistical analysis and enhance your understanding of spatially correlated functional data today.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled. Condition: BRAND NEW. ISBN: 9781119387848. Year: 2021. Publisher: John Wiley & Sons (UK). Pages: 448.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9781119387848
Year: 2021
Publisher: John Wiley & Sons (UK)
Pages: 448
Description:
Geostatistical Functional Data Analysis
Explore the intersection between geostatistics and functional data analysis with this insightful new reference
Geostatistical Functional Data Analysis presents a unified approach to modelling functional data when spatial and spatio-temporal correlations are present. The Editors link together the wide research areas of geostatistics and functional data analysis to provide the reader with a new area called geostatistical functional data analysis that will bring new insights and new open questions to researchers coming from both scientific fields. This book provides a complete and up-to-date account to deal with functional data that is spatially correlated, but also includes the most innovative developments in different open avenues in this field.
Containing contributions from leading experts in the field, this practical guide provides readers with the necessary tools to employ and adapt classic statistical techniques to handle spatial regression. The book also includes:
A thorough introduction to the spatial kriging methodology when working with functions
A detailed exposition of more classical statistical techniques adapted to the functional case and extended to handle spatial correlations
Practical discussions of ANOVA, regression, and clustering methods to explore spatial correlation in a collection of curves sampled in a region
In-depth explorations of the similarities and differences between spatio-temporal data analysis and functional data analysis
Aimed at mathematicians, statisticians, postgraduate students, and re
This essential text provides:
- An extensive introduction to spatial kriging methodology tailored for functional data analysis.
- A detailed treatment of classical statistical methods adapted for the functional case, extending their application to spatially correlated data.
- Practical guidance on ANOVA, regression, and clustering techniques to analyze spatial correlation within functional data collections.
- In-depth comparisons of spatio-temporal data analysis and functional data analysis, enriching your understanding of both fields.
Whether you are a mathematician, statistician, or postgraduate student, Geostatistical Functional Data Analysis serves as an invaluable reference for advancing your research and practical applications. Join the forefront of geostatistical analysis and enhance your understanding of spatially correlated functional data today.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled. Condition: BRAND NEW. ISBN: 9781119387848. Year: 2021. Publisher: John Wiley & Sons (UK). Pages: 448.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9781119387848
Year: 2021
Publisher: John Wiley & Sons (UK)
Pages: 448
Description:
Geostatistical Functional Data Analysis
Explore the intersection between geostatistics and functional data analysis with this insightful new reference
Geostatistical Functional Data Analysis presents a unified approach to modelling functional data when spatial and spatio-temporal correlations are present. The Editors link together the wide research areas of geostatistics and functional data analysis to provide the reader with a new area called geostatistical functional data analysis that will bring new insights and new open questions to researchers coming from both scientific fields. This book provides a complete and up-to-date account to deal with functional data that is spatially correlated, but also includes the most innovative developments in different open avenues in this field.
Containing contributions from leading experts in the field, this practical guide provides readers with the necessary tools to employ and adapt classic statistical techniques to handle spatial regression. The book also includes:
A thorough introduction to the spatial kriging methodology when working with functions
A detailed exposition of more classical statistical techniques adapted to the functional case and extended to handle spatial correlations
Practical discussions of ANOVA, regression, and clustering methods to explore spatial correlation in a collection of curves sampled in a region
In-depth explorations of the similarities and differences between spatio-temporal data analysis and functional data analysis
Aimed at mathematicians, statisticians, postgraduate students, and re