The continuous improvement of technology have allowed the high frequency recording and storing of data measurements. Considering those data for each observation not any more as vector of points seen as fnite set of points but as functions seen as infinite set of points and applying statistical techniques on it, is the core concept of functional data analysis. So several functional versions of a wide range of classical statistical tools are being proposed and developed since the rise of functional data analysis as an important branch of statistics for the analysis of curves. Therefore in spatial statistics different functional versions of kriging predictor have been proposed according to the type of spatial data observed. Here we are mainly interested in the case of geostatistical data observed as functions. This paper provides an overview of how classical geostatiscal tools have been extended in order to deal with spatial prediction of georeferenced data observed or approximated as functions or curves.

(2016). Recent developments of functional kriging [working paper]. Retrieved from http://hdl.handle.net/10446/74598

Recent developments of functional kriging

NDONGO, Ferdinand Bertrand;FASSO', Alessandro;
2016-11

Abstract

The continuous improvement of technology have allowed the high frequency recording and storing of data measurements. Considering those data for each observation not any more as vector of points seen as fnite set of points but as functions seen as infinite set of points and applying statistical techniques on it, is the core concept of functional data analysis. So several functional versions of a wide range of classical statistical tools are being proposed and developed since the rise of functional data analysis as an important branch of statistics for the analysis of curves. Therefore in spatial statistics different functional versions of kriging predictor have been proposed according to the type of spatial data observed. Here we are mainly interested in the case of geostatistical data observed as functions. This paper provides an overview of how classical geostatiscal tools have been extended in order to deal with spatial prediction of georeferenced data observed or approximated as functions or curves.
Ndongo, Ferdinand Bertrand; Fasso', Alessandro; Porcu, Emilio; Mateu, Jorge
working paper
(2016). Recent developments of functional kriging [working paper]. Retrieved from http://hdl.handle.net/10446/74598
GRASPA Working Papers::GRASPA WP by year - Annate della serie editoriale GRASPA WP
File allegato/i alla scheda:
File Dimensione del file Formato  
graspa50_ndongo.pdf

accesso aperto

Versione: publisher's version - versione editoriale
Licenza: Licenza default Aisberg
Dimensione del file 408.02 kB
Formato Adobe PDF
408.02 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10446/74598
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact