Multivariate Geostatistics by Hans Wackernagel is a comprehensive textbook that introduces the principles and applications of geostatistics from a multivariate perspective. The third edition, completely revised, includes new chapters on nonlinear methods and expands on the application of cokriging to various data types, including conductivity, salinity, chlorophyll measurements, and numerical model outputs. It also features a dedicated chapter on collocated cokriging, which is a significant addition to the field. The book covers fundamental concepts such as mean, variance, covariance, linear regression, and simple kriging, as well as more advanced topics like regionalized variables, variogram clouds, and covariance functions. It discusses anisotropy, extension and dispersion variance, and the extension of kriging to spatial components. The text also delves into multivariate analysis techniques, including principal component analysis, canonical analysis, and correspondence analysis. Additional chapters explore isotopic kriging, coregionalization analysis, and complex variable kriging. The book also addresses non-stationary geostatistics, universal kriging, and translation invariant drift. It includes case studies, such as the Ebro Estuary, and provides practical examples and applications in environmental, climatological, and ecological studies. The book is well-structured, with detailed explanations, numerous figures, and tables to aid understanding. It is intended for students and professionals in geology, environmental science, and related fields who wish to learn and apply geostatistical methods.Multivariate Geostatistics by Hans Wackernagel is a comprehensive textbook that introduces the principles and applications of geostatistics from a multivariate perspective. The third edition, completely revised, includes new chapters on nonlinear methods and expands on the application of cokriging to various data types, including conductivity, salinity, chlorophyll measurements, and numerical model outputs. It also features a dedicated chapter on collocated cokriging, which is a significant addition to the field. The book covers fundamental concepts such as mean, variance, covariance, linear regression, and simple kriging, as well as more advanced topics like regionalized variables, variogram clouds, and covariance functions. It discusses anisotropy, extension and dispersion variance, and the extension of kriging to spatial components. The text also delves into multivariate analysis techniques, including principal component analysis, canonical analysis, and correspondence analysis. Additional chapters explore isotopic kriging, coregionalization analysis, and complex variable kriging. The book also addresses non-stationary geostatistics, universal kriging, and translation invariant drift. It includes case studies, such as the Ebro Estuary, and provides practical examples and applications in environmental, climatological, and ecological studies. The book is well-structured, with detailed explanations, numerous figures, and tables to aid understanding. It is intended for students and professionals in geology, environmental science, and related fields who wish to learn and apply geostatistical methods.