000			01824 a2200229 4500
003			OSt
005			20211217124402.0
008			211217b xxu||||| |||| 00| 0 eng d
020			_a9781108712934
040			_cIIT Kanpur
041			_aeng
082			_a910.285 _bG863s
100			_aGrekousis, George
245			_aSpatial analysis methods and practice _bdescribe-explore-explain through GIS _cGeorge Grekousis
260			_bCambridge University Press _c2020 _aCambridge
300			_axv, 518p
500			_aWith solved examples in ArcGIS, GeoDa and GeoDa Space
520			_aThis is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences.
650			_aSpatial analysis (Statistics)
650			_aGeographic information systems
942			_cBK
999			_c565050 _d565050