Modelling and analysing outliers in spatial lattice data
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. All rights reserved.
bias-robust estimation autocorrelation function additive outlier two-dimensional spectrum