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
955 _brm13 2015-06-04
_irm13 2015-06-04 ONIX (telework)
_axn12 2016-01-30 1 copy rec'd., to CIP ver.
999 _c24625
_d24625