000			02159nam a22003378i 4500
001			CR9780511754944
003			UkCbUP
005			20200124160253.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			100422s2003||||enk o ||1 0|eng|d
020			_a9780511754944 (ebook)
020			_z9780521773195 (hardback)
020			_z9780521774376 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA278.2 _b.H345 2003
082	0	0	_a001.4/22 _221
100	1		_aHaining, Robert P., _eauthor.
245	1	0	_aSpatial data analysis : _btheory and practice / _cRobert Haining.
264		1	_aCambridge : _bCambridge University Press, _c2003.
300			_a1 online resource (xx, 432 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_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.
650		0	_aSpatial analysis (Statistics)
650		0	_aGeology _xStatistical methods _xData processing.
776	0	8	_iPrint version: _z9780521773195
856	4	0	_uhttps://doi.org/10.1017/CBO9780511754944
999			_c519700 _d519698