{"product_id":"spatial-statistics-and-geostatistics-theory-and-applications-for-geographic-information-science-and-technology-paperback","title":"Spatial Statistics and Geostatistics: Theory and Applications for Geographic Information Science and Technology - Paperback","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\u003eYongwan Chun\u003c\/b\u003e (Author), \u003cb\u003eDaniel A. Griffith\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSpatial Statistics and Geostatistics\u003c\/strong\u003e is the definitive text on spatial statistics. Its focus is on spatial statistics as a distinct form of statistical analysis and it includes computer components for ArcGIS, R, SAS, and WinBUGS. The teaching and learning objective of the text is to illustrate the use of basic spatial statistics and geostatistics, as well as the spatial filtering techniques used in all the relevant programs and software.\u003c\/p\u003e\u003cp\u003eThe text is a systematic overview of the canonical spatial statistical and geostatistical methods. It explains and demonstrates methods and techniques in spatial sampling; spatial autocorrelation; spatial composition (heterogeneity, homogeneity) and configuration (contiguity), spatially adjusted regression and related spatial econometrics; local statistics: hot and cold spots; geostatistics and related techniques in measuring spatial variance and co-variance; and methods for spatial interpolation in two-dimensions. A concluding section discusses advanced topics in spatial statistics: these include Bayesian methods, the Monte Carlo simulation, and error and uncertainty.\u003c\/p\u003e\u003cp\u003eFully explanatory, \u003cstrong\u003eSpatial Statistics and Geostatistics\u003c\/strong\u003e uses boxed computer code, diagrams, illustrations; and includes further readings. Case study and exemplary materials and data sets are also included.\u003cbr\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 200\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.6 x 9.4 x 6.6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 30, 2013\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":67598394458223,"sku":"9781446201749","price":197.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0717\/4966\/4879\/files\/A1XNwZ0Kcx9781446201749.webp?v=1790596250","url":"https:\/\/finderbooks.com\/products\/spatial-statistics-and-geostatistics-theory-and-applications-for-geographic-information-science-and-technology-paperback","provider":"Finder Books ","version":"1.0","type":"link"}