Geostatistical functional data analysis

• Main Authors: Mateu, Jorge, Giraldo, Ramon
• Format: eBook Book
• Language: English
• Published: Hoboken, NJ Wiley 2022; John Wiley & Sons, Incorporated; Wiley-Blackwell
• Edition: 1
• Series: Wiley series in probability and statistics
• Subjects: Functional analysis; Geology; Geology > Statistical methods; Kriging; Spatial analysis (Statistics)
• ISBN: 9781119387848; 1119387841
• DOI: 10.1002/9781119387916

"Spatial functional data (SFD) arises when we have functional data (curves or images) at each one of the several sites or areas of a region. Statistics for SFD is concerned with the application of methods for modeling this type of data. All the fields of spatial statistics (point patterns, areal data and geostatistics) have been adapted to the study of SFD. For example, in point patterns analysis, the functional mark correlation function is proposed as a counterpart of the mark correlation function; in areal data, analysis of a functional areal dataset consisting of population pyramids for 38 neighborhoods in Barcelona (Spain) has been proposed; and in geostatistical analysis diverse approaches for kriging of functional data have been given. In the last few years, some alternatives have been adapted for considering models for SFD, where the estimation of the spatial correlation is of interest. When a functional variable is measured in s