Preface -- Introduction -- Basic statistics -- Prediction and interpolation -- Characterizing spatial processes : the covariance and variogram -- Modelling the variogram -- Reliability of the experimental variogram and nested sampling -- Spectral analysis -- Local estimation or prediction: kriging -- Kriging in the presence of trend and factorial kriging -- Cross-correlation, coregionalization and cokriging -- Disjunctive kriging -- Stochastic simulation -- Appendix A -- Appendix B -- References -- Index.
'Geostatistics is essential for environmental scientists. Weather and climate vary from place to place, soil varies at every scale at which it is examined, and even man-made attributes--such as the distribution of pollution--vary. The techniques used in geostatistics are ideally suited to the needs of environmental scientists, who use them to make the best of sparse data for prediction, and top plan future surveys when resources are limited.'--EBL choice.