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Spatial mode estimation for functional random fields with application to bioturbation problem

delete2009-09-29
delete17
PRE
AI
S
Sophie Dabo‐Niang *
A
Anne‐Françoise Yao
L
Laura Pischedda
P
Philippe Cuny
F
Franck Gilbert
DOI:10.1007/s00477-009-0339-6delete
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Abstract

Abstract

En 中文
This work provides a useful tool to study the effects of bioturbation on the distribution of oxygen within sediments. We propose here heterogeneity measurements based on functional spatial mode. To obtain the mode, one usually needs to estimate the spatial probability density. The approach considered here consists in looking each observation as a curve that represents the history of the oxygen concentration at a fixed pixel.
Keywords:
Spatial mode
Density estimation
Functional data
Heterogeneity
Bioturbation

Journal

Stochastic Environmental Research and Risk Assessment cover
Stochastic Environmental Research and Risk Assessment
IF:
3.6
Papers:
3.5K
Citations:
6.9K

Organization

C
centre national de la recherche scientifique (cnrs)
Scholars:
24.5W
Papers: 18.2W
Citations: 279
A
aix-marseille universite
Scholars:
3.8W
Papers: 2.7W
Citations: 77
U
universite de lille
Scholars:
2.7W
Papers: 2.0W
Citations: 15
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