000			02064nam a22003498i 4500
001			CR9780511623356
003			UkCbUP
005			20200810130531.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090916s1990||||enk o ||1 0|eng|d
020			_a9780511623356 (ebook)
020			_z9780521384162 (hardback)
020			_z9780521448666 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aHA30.6 _b.H35 1990
082	0	0	_a300/.1/5192 _220
100	1		_aHaining, Robert P., _eauthor.
245	1	0	_aSpatial data analysis in the social and environmental sciences / _cRobert Haining.
246	3		_aSpatial Data Analysis in the Social & Environmental Sciences
264		1	_aCambridge : _bCambridge University Press, _c1990.
300			_a1 online resource (xxi, 409 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			_aWithin both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis for interpretation. The purpose of this book is to describe current methods for the analysis of spatial data. Methods described include data description, map interpolation, and exploratory and explanatory analyses. The book also examines spatial referencing, and methods for detecting problems, assessing their seriousness and taking appropriate action are discussed. This is an important text for any discipline requiring a broad overview of current theoretical and applied work for the analysis of spatial data sets. It will be of particular use to research workers and final year undergraduates in the fields of geography, environmental sciences and social sciences.
650		0	_aSpatial analysis (Statistics)
650		0	_aPopulation geography _xStatistical methods.
776	0	8	_iPrint version: _z9780521384162
856	4	0	_uhttps://doi.org/10.1017/CBO9780511623356
942			_cEB
999			_c311858 _d311858