When Space Matters: Spatial Dependence, Diagnostics, and Regression Models

References

• Anselin , L. 1988 . Spatial econometrics: Methods and models , Boston, MA : Kluwer .
   Google Scholar
• Anselin , L. 1990 . Spatial dependence and spatial structural instability in applied regression analysis . Journal of Regional Science , 30 : 185 – 207 .
   Web of Science ®Google Scholar
• Anselin , L. 1995 . Local indicators of spatial autocorrelation—LISA . Geographical Analysis , 27 : 93 – 115 .
   Web of Science ®Google Scholar
• Anselin , L. 1996 . “ The Moran scatterplot as an ESDA tool to assess local instability in spatial autocorrelation ” . In Spatial analytical perspectives on GIS , Edited by: Fischer , M. , Scholten , H. and Unwin , D. 111 – 125 . London : Taylor & Francis .
   Google Scholar
• Anselin , L. 2006 . “ Spatial econometrics ” . In Palgrave handbook of econometrics: Vol. 1. Econometric theory , Edited by: Mills , T. C. and Patterson , K. 901 – 969 . Basingstoke : Palgrave Macmillan .
   Google Scholar
• Anselin , L. and Bera , A. 1998 . “ Spatial dependence in linear regression models with an introduction to spatial econometrics ” . In Handbook of applied econometric statistics , Edited by: Ullah , A. and Giles , D. E. A. 237 – 298 . New York : Marcel Drekker .
   Google Scholar
• Anselin , L. , Bera , A. K. , Florax , R. and Yoon , M. J. 1996 . Simple diagnostic tests for spatial dependence . Regional Science and Urban Economics , 26 : 77 – 104 .
   Web of Science ®Google Scholar
• Anselin , L. , Cohen , J. , Cook , D. , Gorr , W. and Tita , G. 2000 . “ Spatial analyses of crime ” . In Criminal justice: Vol. 4. Measurement and analysis of crime and justice , Edited by: Duffee , D. 213 – 262 . Washington, DC : National Institute of Justice .
   Google Scholar
• Anselin , L. and Florax , R. 1995 . “ Small sample properties for spatial dependence in regression models: Some further results ” . In New directions in spatial econometrics , Edited by: Anselin , L. and Florax , R. 21 – 74 . Berlin : Springer‐Verlag .
   Google Scholar
• Anselin , L. , Le Gallo , J. and Jayet , H. 2008 . “ Spatial panel econometrics ” . In The econometrics of panel data: Fundamentals and recent developments in theory and practice , Edited by: Matyas , L. and Sevestre , P. 625 – 660 . Berlin : Springer‐Verlag .
   Google Scholar
• Baller , R. D. , Anselin , L. , Messner , S. F. , Deane , G. and Hawkins , D. F. 2001 . Structural covariates of U.S. county homicide rates incorporating spatial effects . Criminology , 39 : 561 – 590 .
   Web of Science ®Google Scholar
• Black , D. 1997 . The social structure of right and wrong , (Rev. ed.) , New York : Academic Press .
   Google Scholar
• Blau , P. M. 1977 . Inequality and heterogeneity: A primitive theory of social structure , New York : The Free Press .
   Google Scholar
• Britt , C. L. 2000 . Social context and racial disparities in punishment decisions . Justice Quarterly , 17 : 707 – 732 .
   Web of Science ®Google Scholar
• Bursik , R. J. and Grasmick , H. G. 1993 . Neighborhoods and crime: The dimensions of effective community control , New York : Macmillan .
   Google Scholar
• Cerda , M. , Tracy , M. , Messner , S. F. , Vlahov , D. , Tardiff , K. and Galea , S. 2009 . Misdemeanor policing, physical disorder, and gun‐related homicide: A spatial analytic test of “broken windows” theory . Epidemiology , 20 : 533 – 541 .
   PubMed Web of Science ®Google Scholar
• Cliff , A. D. and Ord , J. K. 1973 . Spatial autocorrelation , London : Pion .
   Google Scholar
• Cliff , A. D. and Ord , J. K. 1981 . Spatial processes, models, and applications , London : Pion .
   Google Scholar
• Cohen , J. and Tita , G. 1999 . Diffusion in homicide: Exploring a general method for detecting spatial diffusion processes . Journal of Quantitative Criminology , 15 : 451 – 493 .
   Web of Science ®Google Scholar
• Cressie , N. 1993 . Statistics for spatial data , New York : John Wiley & Sons .
   Google Scholar
• Doreian , P. 1980 . Linear models with spatially distributed data: Spatial disturbances or spatial effects? . Sociological Methods and Research , 9 : 29 – 60 .
   Web of Science ®Google Scholar
• Geary , R. C. 1954 . The contiguity ratio and statistical mapping . Incorporated Statistician , 5 : 115 – 145 .
   Google Scholar
• Getis , A. and Ord , J. K. 1992 . The analysis of spatial association by use of distance statistics . Geographical Analysis , 24 : 198 – 206 .
   Web of Science ®Google Scholar
• Griffiths , E. and Chavez , J. M. 2004 . Communities, street guns, and homicide trajectories in Chicago, 1980–1995: Merging methods for examining homicide trends across space and time . Criminology , 42 : 941 – 978 .
   Web of Science ®Google Scholar
• Jin , X. , Carlin , B. P. and Banerjee , S. 2005 . Generalized hierarchical multivariate CAR models for areal data . Biometrics , 61 : 950 – 961 .
   PubMed Web of Science ®Google Scholar
• Kubrin , C. E. and Stewart , E. A. 2006 . Predicting who reoffends: The neglected role of neighborhood context in recidivism studies . Criminology , 44 : 165 – 197 .
   Web of Science ®Google Scholar
• Mears , D. P. and Bhati , A. S. 2006 . No community is an island: The effects of resource deprivation on urban violence in spatially and socially proximate communities . Criminology , 44 : 509 – 548 .
   Web of Science ®Google Scholar
• Moran , P. A. P. 1950 . Notes on continuous stochastic phenomenon . Biometrika , 37 : 17 – 23 .
   PubMed Web of Science ®Google Scholar
• Morenoff , J. D. and Sampson , R. J. 1997 . Violent crime and the spatial dynamics of neighborhood transition: Chicago 1970–1990 . Social Forces , 76 : 31 – 64 .
   Web of Science ®Google Scholar
• Morenoff , J. D. , Sampson , R. J. and Raudenbush , S. W. 2001 . Neighborhood inequality, collective efficacy, and the spatial dynamics of urban violence . Criminology , 39 : 517 – 560 .
   Web of Science ®Google Scholar
• Ord , J. K. and Getis , A. 1995 . Local spatial autocorrelation statistics: Distributional issues and an application . Geographical Analysis , 27 : 286 – 306 .
   Web of Science ®Google Scholar
• Rosenfeld , R. , Bray , T. M. and Egley , A. 1999 . Facilitating violence: A comparison of gang‐motivated, gang‐affiliated, and nongang youth homicides . Journal of Quantitative Criminology , 15 : 495 – 516 .
   Web of Science ®Google Scholar
• Sampson , R. J. and Groves , W. B. 1989 . Community structure and crime: Testing social disorganization theory . American Journal of Sociology , 94 : 774 – 802 .
   Web of Science ®Google Scholar
• Sampson , R. J. , Raudenbush , S. W. and Earls , F. 1997 . Neighborhoods and violent crime: A multilevel study of collective efficacy . Science , 277 : 918 – 924 .
   PubMed Web of Science ®Google Scholar
• Shaw , C. and H. McKay . 1942 . Juvenile delinquency in urban areas , (2nd ed. 1969) , Chicago, IL : University of Chicago Press .
   Google Scholar
• Ward , M. D. and Gleditsch , S. K. 2008 . Spatial regression models , Thousand Oaks, CA : Sage .
   Google Scholar
• Wilson , W. J. 1987 . The truly disadvantaged: The inner city, the underclass, and public policy , Chicago, IL : University of Chicago Press .
   Google Scholar
• Wilson , W. J. 1996 . When work disappears: The world of the new urban poor , New York : Alfred A. Knopf .
   Google Scholar