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

Sophie Dabo-Niang; Anne Francoise Yao; Laura Pischedda; Philippe Cuny; Franck Gilbert

doi:10.1007/s00477-009-0339-6

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

Sophie Dabo-Niang, Anne Francoise Yao, Laura Pischedda, Philippe Cuny, Franck Gilbert

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	487-497
Number of pages	11
Journal	Stochastic Environmental Research and Risk Assessment
Volume	24
Issue number	4
DOIs	https://doi.org/10.1007/s00477-009-0339-6
Publication status	Published - 1 Jan 2010
Externally published	Yes

Keywords

Bioturbation
Density estimation
Functional data
Heterogeneity
Spatial mode

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10.1007/s00477-009-0339-6

Cite this

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title = "Spatial mode estimation for functional random fields with application to bioturbation problem",

abstract = "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 = "Bioturbation, Density estimation, Functional data, Heterogeneity, Spatial mode",

author = "Sophie Dabo-Niang and Yao, \{Anne Francoise\} and Laura Pischedda and Philippe Cuny and Franck Gilbert",

year = "2010",

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AU - Dabo-Niang, Sophie

AU - Yao, Anne Francoise

AU - Pischedda, Laura

AU - Cuny, Philippe

AU - Gilbert, Franck

PY - 2010/1/1

Y1 - 2010/1/1

N2 - 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.

AB - 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.

KW - Bioturbation

KW - Density estimation

KW - Functional data

KW - Heterogeneity

KW - Spatial mode

U2 - 10.1007/s00477-009-0339-6

DO - 10.1007/s00477-009-0339-6

M3 - Article

AN - SCOPUS:77955050047

SN - 1436-3240

VL - 24

SP - 487

EP - 497

JO - Stochastic Environmental Research and Risk Assessment

JF - Stochastic Environmental Research and Risk Assessment

IS - 4

ER -

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

Abstract

Keywords

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