Modelling and analyzing outliers in spatial lattice data

M. A. Mugglestone; V. Barnett; R. Nirel; D. A. Murray

doi:10.1016/S0895-7177(00)00116-3

Modelling and analyzing outliers in spatial lattice data

M. A. Mugglestone^*, V. Barnett, R. Nirel, D. A. Murray

^*Corresponding author for this work

Department of Statistics

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

2 Scopus citations

Abstract

We describe a procedure for the detection and replacement of outliers in spatial lattice data. The procedure is designed to produce bias-robust estimates of autocorrelation functions and spectral density functions. The application of the method is illustrated using ecological and environmental data. (C) 2000 Elsevier Science Ltd.

Original language	English
Pages (from-to)	1-10
Number of pages	10
Journal	Mathematical and Computer Modelling
Volume	32
Issue number	1-2
DOIs	https://doi.org/10.1016/S0895-7177(00)00116-3
State	Published - Jul 2000

Bibliographical note

Funding Information:
The authors thank: A. W. Ferguson and B. Wafczak of IACR for supplying the seed weevil and pollen beetle data; G. S. Boulton of the University of ~inbu~h far supplying the aeri81 photogr8p~ and C. F. G. Thomas 8nd M. Bresssn of IACR for supplying the Carabidae data. IACR receives grantaided support from the Biotechnoiogy and Biological Sciences Fbearch Council of the United Kingdom.

Keywords

Additive outlier
Autocorrelation function
Bias-robust estimation
Two-dimensional spectrum

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10.1016/S0895-7177(00)00116-3

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abstract = "We describe a procedure for the detection and replacement of outliers in spatial lattice data. The procedure is designed to produce bias-robust estimates of autocorrelation functions and spectral density functions. The application of the method is illustrated using ecological and environmental data. (C) 2000 Elsevier Science Ltd.",

keywords = "Additive outlier, Autocorrelation function, Bias-robust estimation, Two-dimensional spectrum",

author = "Mugglestone, {M. A.} and V. Barnett and R. Nirel and Murray, {D. A.}",

note = "Funding Information: The authors thank: A. W. Ferguson and B. Wafczak of IACR for supplying the seed weevil and pollen beetle data; G. S. Boulton of the University of ~inbu~h far supplying the aeri81 photogr8p~ and C. F. G. Thomas 8nd M. Bresssn of IACR for supplying the Carabidae data. IACR receives grantaided support from the Biotechnoiogy and Biological Sciences Fbearch Council of the United Kingdom.",

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AU - Mugglestone, M. A.

AU - Barnett, V.

AU - Nirel, R.

AU - Murray, D. A.

N1 - Funding Information: The authors thank: A. W. Ferguson and B. Wafczak of IACR for supplying the seed weevil and pollen beetle data; G. S. Boulton of the University of ~inbu~h far supplying the aeri81 photogr8p~ and C. F. G. Thomas 8nd M. Bresssn of IACR for supplying the Carabidae data. IACR receives grantaided support from the Biotechnoiogy and Biological Sciences Fbearch Council of the United Kingdom.

PY - 2000/7

Y1 - 2000/7

N2 - We describe a procedure for the detection and replacement of outliers in spatial lattice data. The procedure is designed to produce bias-robust estimates of autocorrelation functions and spectral density functions. The application of the method is illustrated using ecological and environmental data. (C) 2000 Elsevier Science Ltd.

AB - We describe a procedure for the detection and replacement of outliers in spatial lattice data. The procedure is designed to produce bias-robust estimates of autocorrelation functions and spectral density functions. The application of the method is illustrated using ecological and environmental data. (C) 2000 Elsevier Science Ltd.

KW - Additive outlier

KW - Autocorrelation function

KW - Bias-robust estimation

KW - Two-dimensional spectrum

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JO - Mathematical and Computer Modelling

JF - Mathematical and Computer Modelling

IS - 1-2

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Modelling and analyzing outliers in spatial lattice data

Abstract

Bibliographical note

Keywords

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