• 1: Introduction.- 2: Simple Kriging.- 3: Normalization.- 4: Ordinary Kriging.- 5: The Semivariogram.- 6: Universal Kriging.- 7: Crossvalidation.- 8: Drift and Residuals.- 9: Stochastic Simulation.- 10: Reliability.- 11: Cumulative Distribution Estimators.- 12: Block Kriging.- 13: Ordinary Cokriging.- 14: Regionalized Classification.- References.- Appendix A: West Lyons Field Sampling.- Appendix B: High Plains Aquifer Sampling.- Appendix C: UNCF Sampling.- Appendix D: Dakota Aquifer Sampling.- Author Index.

'This book ... is one of the best introductions to geostatistics. It is a perfect balance between theory and methodological considerations. ... Even the more experienced geostatisticians will read it with great pleasure and will find for it a very special place on their bookshelf. It is the kind of book that you enjoy recommending to anyone who wants a good starting point in a field. ... I very stronly recommend this book to anyone who wants to have an introductive, consistent and unbiased view of geostatistics, a discipline that urgently needs young and enthusiastic scientists with a fresh view of the problems. In this sense, this book should help us a lot, at least as much as it will help them.' P. Bogaert in Stochastic Environmental Research and Risk Assessment, 14 (2000) 'This book should be seriously considered for adoption in a graduate level course on geostatistics. Moreover, this book would make a valuable addition to any library on spatial analysis.' Mathematical Geology, July (2002)

• 1: Introduction.- 2: Simple Kriging.- 3: Normalization.- 4: Ordinary Kriging.- 5: The Semivariogram.- 6: Universal Kriging.- 7: Crossvalidation.- 8: Drift and Residuals.- 9: Stochastic Simulation.- 10: Reliability.- 11: Cumulative Distribution Estimators.- 12: Block Kriging.- 13: Ordinary Cokriging.- 14: Regionalized Classification.- References.- Appendix A: West Lyons Field Sampling.- Appendix B: High Plains Aquifer Sampling.- Appendix C: UNCF Sampling.- Appendix D: Dakota Aquifer Sampling.- Author Index.

'This book ... is one of the best introductions to geostatistics. It is a perfect balance between theory and methodological considerations. ... Even the more experienced geostatisticians will read it with great pleasure and will find for it a very special place on their bookshelf. It is the kind of book that you enjoy recommending to anyone who wants a good starting point in a field. ... I very stronly recommend this book to anyone who wants to have an introductive, consistent and unbiased view of geostatistics, a discipline that urgently needs young and enthusiastic scientists with a fresh view of the problems. In this sense, this book should help us a lot, at least as much as it will help them.' P. Bogaert in Stochastic Environmental Research and Risk Assessment, 14 (2000) 'This book should be seriously considered for adoption in a graduate level course on geostatistics. Moreover, this book would make a valuable addition to any library on spatial analysis.' Mathematical Geology, July (2002)

• 1: Introduction.- 2: Simple Kriging.- 3: Normalization.- 4: Ordinary Kriging.- 5: The Semivariogram.- 6: Universal Kriging.- 7: Crossvalidation.- 8: Drift and Residuals.- 9: Stochastic Simulation.- 10: Reliability.- 11: Cumulative Distribution Estimators.- 12: Block Kriging.- 13: Ordinary Cokriging.- 14: Regionalized Classification.- References.- Appendix A: West Lyons Field Sampling.- Appendix B: High Plains Aquifer Sampling.- Appendix C: UNCF Sampling.- Appendix D: Dakota Aquifer Sampling.- Author Index.

'This book ... is one of the best introductions to geostatistics. It is a perfect balance between theory and methodological considerations. ... Even the more experienced geostatisticians will read it with great pleasure and will find for it a very special place on their bookshelf. It is the kind of book that you enjoy recommending to anyone who wants a good starting point in a field. ... I very stronly recommend this book to anyone who wants to have an introductive, consistent and unbiased view of geostatistics, a discipline that urgently needs young and enthusiastic scientists with a fresh view of the problems. In this sense, this book should help us a lot, at least as much as it will help them.' P. Bogaert in Stochastic Environmental Research and Risk Assessment, 14 (2000) 'This book should be seriously considered for adoption in a graduate level course on geostatistics. Moreover, this book would make a valuable addition to any library on spatial analysis.' Mathematical Geology, July (2002)