000			02000nam a2200205Ia 4500
005			20250307113722.0
008			230228s2009||||xx |||||||||||||| ||eng||
020			_a9780521774376
041			_aEnglish
082			_a001.422 H15
100			_aHaining, Robert _eAuthor _952
245		0	_aSpatial data analysis: theory and practice
260			_aCambridge: _bCambridge university press, _c2009.
300			_axx, 432p.;21cms.
500			_aSpatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging treatment of the field of spatial data analysis. It begins with an overview of spatial data analysis and the importance of location (place, context and space) in scientific and policy related research. Covering fundamental problems concerning how attributes in geographical space are represented to the latest methods of exploratory spatial data analysis and spatial modeling, it is designed to take the reader through the key areas that underpin the analysis of spatial data, providing a platform from which to view and critically appreciate many of the key areas of the field. Parts of the text are accessible to undergraduate and master's level students, but it also contains sufficient challenging material that it will be of interest to geographers, social and economic scientists, environmental scientists and statisticians, whose research takes them into the area of spatial analysis. # Provides an extensive treatment of the scientific and policy context for using spatial data analysis # Complete overview - from fundamental problems of representing the geographical world to how to explore and model spatial data # Clear enough for many undergraduates to get a firm grasp on the subject whilst containing enough challenging material to allow graduate students to get a strong understanding of the field.
650			_aSpatial analysis _xStatistics _953
650			_aGeology _xStatistical methods _91978
650			_aData processing _95024
942			_cBK
999			_c305 _d305