Inhoudsopgave:
|
\u003cb\u003eSPATIAL ANALYSIS\u003c/b\u003e \u003cp\u003e\u003cb\u003eExplore the foundations and latest developments in spatial statistical analysis\u003c/b\u003e \u003cp\u003eIn \u003ci\u003eSpatial Analysis, \u003c/i\u003etwo 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. \u003cp\u003eIncreasingly 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: \u003cul\u003e\u003cli\u003eThorough introduction to stationary random fields, intrinsic and generalized random fields, and stochastic models\u003c/li\u003e \u003cli\u003eComprehensive exploration of the estimation of spatial structure\u003c/li\u003e \u003cli\u003ePractical discussion of kriging and the spatial linear model\u003c/li\u003e\u003c/ul\u003e \u003cp\u003e\u003ci\u003eSpatial Analysis \u003c/i\u003eis an invaluable resource for advanced undergraduate and postgraduate students in statistics, data science, digital imaging, geostatistics, and agriculture. It\u0026#8217;s also an accessible reference for professionals who are required to use spatial models in their work. |
nl
en