{"product_id":"statistics-for-spatial-data-by-noel-cressie-9781119114611","title":"Statistics for Spatial Data","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eThe \u003ci\u003eWiley Classics Library\u003c\/i\u003e consists of selected books made more accessible to consumers to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley aims to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.\u003c\/p\u003e\n\n\u003cp\u003eSpatial statistics — analyzing spatial data through statistical models — has proven exceptionally versatile, encompassing problems ranging from the microscopic to the astronomic. However, for the scientist and engineer faced only with scattered and uneven treatments of the subject in the scientific literature, learning how to make practical use of spatial statistics in day-to-day analytical work is very difficult.\u003c\/p\u003e\n\n\u003cp\u003eDesigned exclusively for scientists eager to tap into the enormous potential of this analytical tool and upgrade their range of technical skills, \u003ci\u003eStatistics for Spatial Data\u003c\/i\u003e is a comprehensive, single-source guide to both the theory and applied aspects of spatial statistical methods. The hardcover edition was hailed by Mathematical Reviews as an \"excellent book which will become a basic reference.\" This paperback edition of the 1993 edition is designed to meet the many technological challenges facing the scientist and engineer.\u003c\/p\u003e\n\n\u003cp\u003eConcentrating on the three areas of geostatistical data, lattice data, and point patterns, the book sheds light on the link between data and model, revealing how design, inference, and diagnostics are an outgrowth of that link. It then explores new methods to show how spatial statistical models can solve important problems in a host of areas in science and engineering.\u003c\/p\u003e\n\n\u003cp\u003eDiscussion includes:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eExploratory spatial data analysis\u003c\/li\u003e\n    \u003cli\u003eSpectral theory for stationary processes\u003c\/li\u003e\n    \u003cli\u003eSpatial scale\u003c\/li\u003e\n    \u003cli\u003eSimulation methods for spatial processes\u003c\/li\u003e\n    \u003cli\u003eSpatial bootstrapping\u003c\/li\u003e\n    \u003cli\u003eStatistical image analysis and remote sensing\u003c\/li\u003e\n    \u003cli\u003eComputational aspects of model fitting\u003c\/li\u003e\n    \u003cli\u003eApplication of models to disease mapping\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eDesigned to accommodate the practical needs of the professional, it features a unified and common notation for its subjects as well as many detailed examples woven into the text, numerous illustrations (including graphs that illuminate the theory discussed), and over 1,000 references.\u003c\/p\u003e\n\n\u003cp\u003eFully balancing theory with applications, \u003ci\u003eStatistics for Spatial Data\u003c\/i\u003e, Revised Edition, is an exceptionally clear guide on making optimal use of one of the ascendant analytical tools of the decade, one that has begun to capture the imagination of professionals in biology, earth science, civil, electrical, and agricultural engineering, geography, epidemiology, and ecology.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":46854862045420,"sku":"9781119114611","price":163.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/6bf7ace0207e11c9c895016d281e17c5.jpg?v=1759263872","url":"https:\/\/bookhero.co.nz\/products\/statistics-for-spatial-data-by-noel-cressie-9781119114611","provider":"Book Hero","version":"1.0","type":"link"}