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.
Bibliographical noteFunding 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.
- Additive outlier
- Autocorrelation function
- Bias-robust estimation
- Two-dimensional spectrum