Abstract
When spatial analysis of crime is conducted, the analyst should not ignore the spatial units that data are aggregated into and the impact of this choice on the interpretation of findings. Just as several independent variables are considered to determine whether they have statistical significance, a consideration of multiple spatial units of analysis should be made as well, in order to determine whether the choice of aggregation level used in a spatial analysis can result in biased findings. This chapter considers four classes of problems that can arise when data bounded in space are analyzed. These problems, inherent in most studies of space, include: issues associated with politically bounded units of aggregation, edge effects of bounded space, the modifiable aerial unit problem (MAUP), and ways in which the results of statistical analyses can be manipulated by changes in the level of aggregation. Techniques that can be used to alleviate each of the methodological difficulties described in this chapter are then discussed.
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References
Boots, B., & Getis, A. (1988). Point pattern analysis. Beverly Hills, CA: Sage Publications.
Chainey, S., & Ratcliffe, J. (2005). GIS and crime mapping. London: John Wiley & Sons.
Dacey, M. (1975). Evaluation of the Poisson approximation to measures of the random pattern in a square. Geographical Analysis, 7, 351–367.
Donnelly, K. (1978). Simulations to determine the variance and edge effects of total nearest-neighbor distance. In: I. Hodder (Ed.), Simulation methods in archaeology (pp. 91–95). Cambridge: Cambridge University Press.
Griffith, D., & Amrheim, C. (1983). An evaluation of correction techniques for boundary effects in spatial statistical analysis: Traditional methods. Geographical Analysis, 15, 352–360.
Reboussin, R., Warren, J., & Hazelwood, R. (1995). Mapless mapping in analyzing the spatial distribution of serial rapes. In: C. Block, M. Dabdoub, & S. Fregley (Eds.), Crime analysis through computer mapping (pp. 69–74). Washington, DC: Police Executive Research Forum.
Rengert, G. (1996). The geography of illegal drugs. Boulder, CO: Westview Press.
Rengert, G., Ratcliffe, J., & Chakravorty, S. (2005). Policing illegal drug markets: Geographic approaches to crime reduction. Monsey, NY: Criminal Justice Press.
Roncek, D., & Maier, P. (1991). Bars, blocks and crimes revisited: Linking the theory of routine activities to the empiricism of ‘hot spots.’ Criminology, 29(4), 725–753.
Shaw, C., & McKay, H. (1942). Juvenile delinquency and urban areas: A study of rates of delinquents in relation to different characteristics of local communities in American cities. Chicago, IL: University of Chicago Press.
Snijders, T., & Bosker, R. (1999). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage Publications.
Tobler, W. (1970). A computer model simulation of urban growth in the Detroit region. Economic Geography, 46(2), 234–240.
Yeates, M. (1974). An introduction to quantitative analysis in human geography. New York: McGraw Hill Publications.
Zorn, C. (1998). An analytic and empirical examination of zero-inflated and hurdle Poisson specifications. Sociological Methods and Research, 26(3), 368–400.
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Rengert, G.F., Lockwood, B. (2009). Geographical Units of Analysis and the Analysis of Crime. In: Weisburd, D., Bernasco, W., Bruinsma, G.J. (eds) Putting Crime in its Place. Springer, New York, NY. https://doi.org/10.1007/978-0-387-09688-9_5
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DOI: https://doi.org/10.1007/978-0-387-09688-9_5
Publisher Name: Springer, New York, NY
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