000			02164cam a2200337 i 4500
001			18643086
003			IIITD
005			20180528153427.0
008			150604s2015 nyu b 001 0 eng
010			_a 2015016112
020			_a9780521716383
040			_aDLC _beng _cDLC _erda
042			_apcc
050	0	0	_aHA30.6 _b.D37 2015
082	0	0	_a001.422 _223 _bDAR-S
084			_aPOL000000 _2bisacsh
100	1		_aDarmofal, David
245	1	0	_aSpatial analysis for the social sciences _cDavid Darmofal
260			_aNew York : _bCambridge University Press, _c©2015.
300			_axviii, 244 p. : _c23 cm. _bill. ;
490	0		_aAnalytical methods for social research
504			_aIncludes bibliographical references and index.
520			_a"Many theories in the social sciences predict spatial dependence or the similarity of behaviors at neighboring locations. Spatial Analysis for the Social Sciences demonstrates how researchers can diagnose and model this spatial dependence and draw more valid inferences as a result. The book is structured around the well-known Galton's problem and presents a step-by-step guide to the application of spatial analysis. The book examines a variety of spatial diagnostics and models through a series of applied examples drawn from the social sciences. These include spatial lag models that capture behavioral diffusion between actors, spatial error models that account for spatial dependence in errors, and models that incorporate spatial heterogeneity in the effects of covariates. Spatial Analysis for the Social Sciences also examines advanced spatial models for time-series cross-sectional data, categorical and limited dependent variables, count data, and survival data"--
650		0	_aSpatial analysis (Statistics)
650		0	_aSocial sciences _xResearch _xMethodology.
650		7	_aPOLITICAL SCIENCE / General. _2bisacsh
856	4	2	_3Cover image _uhttp://assets.cambridge.org/97805218/88264/cover/9780521888264.jpg
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c24625 _d24625