GIS and Crime Mapping

By S. Chainey, Jerry H. Ratcliffe. 2005

663 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/eac544c113da5f823101c43050640c075039aad9

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Citations in the corpus

Crime Mapping: Spatial and Temporal Challenges (2009, methodology): “Denominator issues aside, statistically significant crime hotspots can be determined with various spatial tools that are able to explain more about an individual datum point or area in relation to the spatial dependency of the location with neighboring places (Chainey and Ratcliffe 2005).”
Visualising Crime Clusters in a Space‐time Cube: An Exploratory Data‐analysis Approach Using Space‐time Kernel Density Estimation and Scan Statistics (2010, background): “…aid of a geographic information system (GIS) and spatial statistics, is now widely used for analysing mass behaviours of crime events to reveal uneven distributions of crime risks and spatial interaction between crime events (Chainey and Ratcliffe 2005, Goldsmith et al. 2000, Turnbull et al. 2000).”
Multilevel Impacts of Perceived Incivilities and Perceptions of Crime Risk on Fear of Crime (2008, background): “First, a problem that affects ecological studies is the modifiable areal unit problem (Chainey and Ratcliffe 2005:340).”
A Temporal Constraint Theory to Explain Opportunity-Based Spatial Offending Patterns (2006, background): “My thanks also to two anonymous reviewers for their helpful comments. some accuracy (Chainey and Ratcliffe 2005).”
Transport Policies and Development (2015, background): “In the developed world, the perception is that public transport attracts crime but available evidence does not back this up (Chainey & Ratcliffe, 2005; Ihlanfeldt, 2003).”
What You Can and Can’t Properly Do with Regression (2010, unknown): “The growing use of GIS studies in criminology is one example of graphical methods (Groff and La Vigne 2002; Chainey and Ratcliffe 2005).”
A Geographic Approach to Racial Profiling (2009, methodology): “With a police beat as the unit of analysis, the visual representations of the hot spots on the LISA Cluster maps are affected by the size, shape and orientation of the geographic areas (Chainey & Ratcliffe, 2005).”
A Micro-Spatial Analysis of the Demographic and Criminogenic Environment of Drug Markets in Philadelphia (2007, methodology): “…the analysis avoids many of the inaccuracies associated with the usual point-in-polygon approach (most noticeably the modifiable areal unit problem, see Chainey & Ratcliffe, 2005; Openshaw, 1984) by employing a more spatially accurate buffer technique centred on individual criminogenic locations.”
The Predictive Policing Challenges of Near Repeat Armed Street Robberies (2012, background): “…but have generally been thought of as places—'addresses, buildings , block faces, street segments, or clusters of addresses' (Mastrofski et al., 2010, p. 251)—with a greater than average concentration of crime (Chainey and Ratcliffe, 2005, pp. 241–245; Eck and Weisburd, 1995; Sherman et al., 1989).”
Randomized Controlled Field Trials of Predictive Policing (2015, unknown): “Hot spot mapping is in widespread use within US policing [8].”
Mapping Paleo-Fire Boundaries from Binary Point Data: Comparing Interpolation Methods (2007, background): “Examples in other disciplines include crime statistics (Pridemore 2003; Chainey and Ratcliffe 2005), insect outbreaks (Zhou, Huang, and Wu 2005), and flood events (Werner 2004).”