This is a revised and updated second edition including new chapters on temporal and point
uncertainty model as well as on sampling and deterministic modeling. It is a comprehensive
presentation of spatial modeling techniques used in the earth sciences outlining original
techniques developed by the author. Data collection in the earth sciences is difficult and
expensive but simple rational and logical approaches help the reader to appreciate the
fundamentals of advanced methodologies. It requires special care to gather accurate geological
hydrogeological meteorological and hydrological information all with risk assessments. Spatial
simulation methodologies in the earth sciences are essential then if we want to understand
the variability in features such as fracture frequencies rock quality and grain size
distribution in rock and porous media. This book outlines in a detailed yet accessible way the
main spatial modeling techniques in particular the Kriging methodology. It also presents many
unique physical approaches field cases and sample interpretations.Since Kriging's origin in
the 1960s it has been developed into a number of new methods such as cumulative SV (CSV) point
CSV (PCSV) and spatial dependence function which have been applied in different aspects of
the earth sciences. Each one of these techniques is explained in this book as well as how they
are used to model earth science phenomena such as geology earthquakes meteorology and
hydrology. In addition to Kriging and its variants several alternatives to Kriging methodology
are presented and the necessary steps in their applications are clearly explained. Simple
spatial variation prediction methodologies are also revised with up-to-date literature and the
ways in which they relate to more advanced spatial modeling methodologies are explained.The
book is a valuable resource for students researchers and professionals of a broad range of
disciplines including geology geography hydrology meteorology environment image processing
spatial modeling and related topics.Keywords »Data mining - Geo-statistics - Kriging - Regional
uncertainty - Spatial dependence - Spatial modeling - geographic data - geoscience - hydrology
- image processing
