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Kriging method to perform scintillation maps based on measurement and GISM model
Author(s) -
Hamel Pierrick,
Sambou Diagna Charles,
Darces Muriel,
Beniguel Yannick,
Hélier Marc
Publication year - 2014
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1002/2014rs005470
Subject(s) - kriging , interpolation (computer graphics) , geostatistics , scintillation , set (abstract data type) , data set , computer science , cross validation , algorithm , data mining , remote sensing , mathematics , statistics , artificial intelligence , geology , machine learning , spatial variability , motion (physics) , telecommunications , detector , programming language
This paper presents an ionosphere scintillation mapping algorithm. The technique used is a Kriging technique, well known in geostatistics. It is an interpolation method applied to a set of random data, namely, in this application, to the intensity scintillation (S4) index. The paper focuses on the importance of the regression model used in the algorithm. The one‐dimensional and then the two‐dimensional problems have been investigated. One example of results combining measurement data recorded by two different networks in Peru is presented. The accuracy of the results has been verified using a cross‐validation technique, which consists in removing part of the known data set and comparing the interpolated results to it.