Modelling and analyzing outliers in spatial lattice data

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-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 languageAmerican English
Pages (from-to)1-10
Number of pages10
JournalMathematical and Computer Modelling
Volume32
Issue number1-2
DOIs
StatePublished - 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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