{"title":"Noel Cressie","description":"\u003cp\u003e\u003cstrong\u003eNoel Cressie\u003c\/strong\u003e offers authoritative texts that explore the intricate world of spatial and spatio-temporal statistics. His works serve as essential guides for understanding the analysis of geographically referenced data, blending theoretical foundations with practical applications.\u003c\/p\u003e\n\n\u003cp\u003eReaders will find comprehensive treatments of statistical methods designed for spatial data, enriched by examples using the R programming language. These books are invaluable for students, researchers, and professionals seeking to deepen their expertise in environmental science, geostatistics, and related fields.\u003c\/p\u003e","products":[{"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"},{"product_id":"spatio-temporal-statistics-with-r-by-christopher-k-wikle-9781138711136","title":"Spatio-Temporal Statistics with R","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eThe world is becoming increasingly complex, with larger quantities of data available to be analysed. It so happens that much of these \"big data\" that are available are spatio-temporal in nature, meaning that they can be indexed by their spatial locations and time stamps.\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eSpatio-Temporal Statistics with R\u003c\/em\u003e provides an accessible introduction to statistical analysis of spatio-temporal data, with hands-on applications of the statistical methods using R Labs found at the end of each chapter. The book:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eGives a step-by-step approach to analysing spatio-temporal data, starting with visualisation, then statistical modelling, with an emphasis on hierarchical statistical models and basis function expansions, and finishing with model evaluation.\u003c\/li\u003e\n    \u003cli\u003eProvides a gradual entry to the methodological aspects of spatio-temporal statistics.\u003c\/li\u003e\n    \u003cli\u003eProvides broad coverage of using R as well as \"R Tips\" throughout.\u003c\/li\u003e\n    \u003cli\u003eFeatures detailed examples and applications in end-of-chapter Labs.\u003c\/li\u003e\n    \u003cli\u003eFeatures \"Technical Notes\" throughout to provide additional technical detail where relevant.\u003c\/li\u003e\n    \u003cli\u003eIs supplemented by a website featuring the associated R package, data, reviews, errata, a discussion forum, and more.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eThe book fills a void in the literature and available software, providing a bridge for students and researchers alike who wish to learn the basics of spatio-temporal statistics. It is written in an informal style and functions as a down-to-earth introduction to the subject. Any reader familiar with calculus-based probability and statistics, and who is comfortable with basic matrix-algebra representations of statistical models, would find this book easy to follow. The goal is to give as many people as possible the tools and confidence to analyse spatio-temporal data.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":47607795351788,"sku":"9781138711136","price":93.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781138711136-spatio-temporal-statistics-with-r.jpg?v=1778173674"}],"url":"https:\/\/bookhero.co.nz\/collections\/noel-cressie.oembed","provider":"Book Hero","version":"1.0","type":"link"}