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Articles

How Exactly Does Place Matter in Crime Analysis? Place, Space, and Spatial Heterogeneity

Pages 290-315 | Published online: 21 Aug 2012

References

  • Agnew, J. (1987). Place and politics: The geographical mediation of state and society. Boston, MA: Allen and Unwin.
  • Althausen, J. D., & Mieczkowski, T. M. (2001). The merging of criminology and geography into a course on spatial crime analysis. Journal of Criminal Justice Education, 12, 367–383.
  • Anselin, L. (1999). Spatial data analysis with SpaceStatTM and arcview. Urbana, IL: Department of Agricultural and Consumer Economics, University of Illinois.
  • Brunsdon, C., Fotheringham, A. S., & Charlton, M. E. (1996). Geographically weighted regression: A method for exploring spatial nonstationarity. Geographical Analysis, 28, 281–298.
  • Brunsdon, C., A.S. Fotheringham, and M. E Charlton. 2000. Geographically weighted regression as a statistical model. Unpublished manuscript. Newcastle-Upon-Tyne, Spatial Analysis Research Group, Department of Geography, University of Newcastle-Upon-Tyne.
  • Bursik, R. J., Jr, & Grasmick, H. G. (1993). Neighborhoods and crime: The dimensions of effective community control. New York, NY: Lexington Books.
  • Charlton M. and S. Fotheringham. 2009. Geographically weighted regression: A tutorial on using GWR in ArcGIS 9.3 and White Paper. National Centre for Geocomputation: National University of Ireland.
  • Cliff, A., & Ord, J. K. (1981). Spatial processes: models and applications. London: Pion.
  • Clifford, P., & Richardson, S. (1985). Testing the association between two spatial processes. Statistics and Decisions, 2, 155–160.
  • Cohen, L., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44, 588–608.
  • Deller, S., & Deller, M. (2010). Rural crime and social capital. Growth and Change, 41, 221–275.
  • Elden, S. (2010). Land, terrain, territory. Progress in Human Geography, 34, 799–817.
  • Flint, C., M. Harrower, and R. Edsall. 2000. But how does place matter? Using bayesian networks to explore a structural definition of place. Paper presented at the New Methodologies for the Social Sciences Conference. University of Colorado, Boulder.
  • Fornango, R. J. (2010). When space matters: Spatial dependence, diagnostics, and regression models. Journal of Criminal Justice Education, 21, 117–135.
  • Fotheringham, A. S., Brunsdon, C., & Charlton, M. E. (1998). Geographically weighted regression: A natural evolution of the expansion method for spatial data analysis. Environment and Planning A, 30, 1905–1927.
  • Fotheringham, A. S., Brunsdon, C., & Charlton, M. E. (2002). Geographically weighted regression: The analysis of spatially varying relationships. Chichester: Wiley.
  • Gieryn, T. (2000). A space for place in sociology. Annual review of Sociology, 26, 463–496.
  • Goodchild, M. F. (1988). Spatial autocorrelation. Concepts and techniques in modern geography. Norwich: Geobooks.
  • Habraken, J. (1998). The structure of the ordinary. Cambridge: MIT Press.
  • Hagerstrand, T. (1973). The domain of human geography. In R. J. Chorley (Ed.), Directions in geography (pp. 67–87). London: Methuen.
  • Haining, R. P. (1990). Spatial data analysis in the social and environmental sciences. Cambridge: Cambridge University Press.
  • Haining, R. P. (2004). Spatial data analysis, theory and practice. Cambridge: Cambridge University Press.
  • Lavalle, P., McConnell, H., & Brown, R. (1967). Certain aspects of the expansion of quantitative methodology in American geography. Annals of the Association of American Geographers, 57, 423–436.
  • Lentz, J. 2009. Geospatial terminology. Coast & environment graduate organization (CEGO). Unpublished document, Louisiana State University.
  • Longley, P. A., & Tobón, C. (2004). Spatial dependence and heterogeneity in patterns of hardship: an intra-urban analysis. Annals of the Association of American Geographers, 94, 503–19.
  • Massey, D. B. (1994). Space, place, and gender. Minneapolis, MN: University of Minnesota Press.
  • Mennis, J. (2006). Mapping the results of geographically weighted regression. The Cartographic Journal, 43, 171–179.
  • Mennis, J., & Jordan, L. (2005). The distribution of environmental equity: Exploring spatial nonstationarity in multivariate models of air toxic. Annals of the Association of American Geographers, 95, 249–268.
  • O’Brien, L. (1992). Introducing quantitative geography: Measurement, methods and generalised linear models. London: Routledge/Chapman and Hall.
  • O'Loughlin, J., & Anselin, L. (1992). Geography of international conflict and cooperation: Theory and methods. In M. D. Ward (Ed.), The new geopolitics (p.). London: Gordon and Breach.
  • Reichenbach, H. (1958). The philosophy of space and time. New York, NY: Dover.
  • Rose, J. K. (1936). Corn yields and climate in the corn belt. Geographical Review, 26, 88–112.
  • Sampson, R. (1987). Communities and crime. In M. R. Gottfredson, & T. Hirschi (Eds.), Positive criminology (pp. 91–114). Beverly Hills, CA: Sage.
  • Sampson, R., & Groves, W. (1989). Community structure and crime. Testing social disorganization theory. American Journal of Sociology, 94, 744–802.
  • Sauerzopf, R., & Swanstrom, T. (1999). The urban electorate in presidential elections, 1920-1996. Urban Affairs Review, 35, 72–91.
  • Sikdar, K. 2003. Application of geographically weighted regression for assessing spatial non-stationarity. Unpublished Dissertation, Memorial University of Newfoundland.
  • Simonoff, J. (1996). Smoothing methods in statistics. New York, NY: Springer.
  • Tobler, W. (1970). A computer movie simulating urban growth in the Detroit region. Economic Geography, 46, 234–240.
  • Tuan, Y. (1997). Space and place: The perspective of experience. Minneapolis, MN: University of Minnesota Press.
  • Unwin, D. (1981). Introductory spatial analysis. London: Methuen.
  • Vilalta, C. (2005). Cómo enseñar autocorrelación espacial (How to teach spacial autocorrelation). Economía, Sociedad y Territorio, 5, 323–333.
  • Wilcox, P., Madensen, T., & Skubak-Tillyer, M. (2007). Guardianship in context: Implications for burglary risk and prevention. Criminology, 45, 771–804.
  • Wilcox, P., Quisenberry, N., & Jones, S. (2003). The built environment and crime risk interpretation. Journal of Research in Crime and Delinquency, 40, 321–345.
  • Wilson, W. J. (1987). The truly disadvantaged. Chicago, IL: University of Chicago Press.

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