000			02008 a2200205 4500
005			20250416170740.0
008			240515b2013|||||||| |||| 00| 0 eng d
020			_a9781446201749
041			_aEnglish
082			_a910.285 C48
100			_aChun, Yongwan _eAuthor _94235
100			_aGriffith, Daniel _eCo-Author _94236
245			_aSpatial statistics and geostatistics: theory and applications for geographic information science & technology
260			_bSage, _c2013. _aLondon:
300			_axiv, 181p.; 21cms.
500			_aSpatial Statistics and Geostatistics 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. The 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. Fully explanatory, Spatial Statistics and Geostatistics uses boxed computer code, diagrams, illustrations; and includes further readings. Case study and exemplary materials and data sets are also included.
650			_aSpatial autocorrelation _xSpatial sampling _94237
650			_aSpatial weight matrics _xSpatial linear operators _94238
942			_cBK
999			_c1155 _d1155