{"product_id":"spatial-analysis-hardcover","title":"Spatial Analysis - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJohn T. Kent\u003c\/b\u003e (Author), \u003cb\u003eKanti V. Mardia\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eSPATIAL ANALYSIS\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eExplore the foundations and latest developments in spatial statistical analysis\u003c\/b\u003e \u003c\/p\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. \u003c\/p\u003e\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: \u003c\/p\u003e\u003cul\u003e\n\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\n\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's also an accessible reference for professionals who are required to use spatial models in their work.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eExplore the foundations and latest developments in spatial statistical analysis\u003c\/b\u003e\u003c\/p\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. \u003c\/p\u003e\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: \u003c\/p\u003e\u003cul\u003e\n\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\n\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's also an accessible reference for professionals who are required to use spatial models in their work.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJohn T. Kent\u003c\/b\u003e is a Professor in the Department of Statistics at the University of Leeds, UK. He began his career as a research fellow at Sidney Sussex College, Cambridge before moving to the University of Leeds. He has published extensively on various aspects of statistics, including infinite divisibility, directional data analysis, multivariate analysis, inference, robustness, shape analysis, image analysis, spatial statistics, and spatial-temporal modelling.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eKanti V. Mardia\u003c\/b\u003e is a Senior Research Professor and Leverhulme Emeritus Fellow in the Department of Statistics at the University of Leeds, and a Visiting Professor at the University of Oxford. During his career he has received many prestigious honours, including in 2003 the Guy Medal in Silver from the Royal Statistical Society, and in 2013 the Wilks memorial medal from the American Statistical Society. His research interests include bioinformatics, directional statistics, geosciences, image analysis, multivariate analysis, shape analysis, spatial statistics, and spatial-temporal modelling.\u003c\/p\u003e \u003cp\u003eKent and Mardia are also joint authors of a well-established monograph on Multivariate Analysis.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 400\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.88 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 16, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47337119023353,"sku":"9780471632054","price":122.4,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/TG9CeFRKN3JBcDlrM2RsWjUvQ1N2dz09.webp?v=1769675050","url":"https:\/\/bookscloud.io\/products\/spatial-analysis-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}