<b>SPATIAL ANALYSIS</b><p><b>Explore the foundations and latest developments in spatial statistical analysis</b><p>In <i>Spatial Analysis, </i>two distinguished authors deliver a practical and insightful exploration of the statistical investigation of the interdependence of random variables as a function of their spatial proximity. The book expertly blends theory and application, offering numerous worked examples and exercises at the end of each chapter. <p>Increasingly relevant to fields as diverse as epidemiology, geography, geology, image analysis, and machine learning, spatial statistics is becoming more important to a wide range of specialists and professionals. The book includes: <ul><li>Thorough introduction to stationary random fields, intrinsic and generalized random fields, and stochastic models</li><li>Comprehensive exploration of the estimation of spatial structure</li><li>Practical discussion of kriging and the spatial linear model</li></ul><p><i>Spatial Analysis </i>is an
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