We compare the relative importance of four dimensions for explaining the micro location of robberies: 1) the micro spatial scale of street segments; 2) the meso spatial scale surrounding the street segment; 3) the temporal pattern, and 4) the macro-scale of the surrounding 2.5 miles. This study uses crime, business, and land use data from New York City and aggregates it to street segments and hours of the day. Although the measures capturing the micro-scale of the street segment explained the largest amount of unique variance, the measures capturing temporal scale across hours of the day (and weekdays) explained the next largest amount of unique variance. The measures of the characteristics in the 2.5 miles macro scale explained the next la...
Abstract The current study examines spatial dependence in robbery rates for a sample of 1,056 cities...
Abstract Purpose/background A new body of research that focuses on crime harm scores rather than cou...
Static indicators may fail to capture spatiotemporal differences in the spatial influence of urban f...
Whereas there is a burgeoning literature focusing on the spatial distribution of crime events across...
Objectives: Given the evidence that crime events exhibit both a spatial and a temporal pattern, we e...
The structure and functions of neighborhoods determine the impact of measures used to estimate the d...
Objectives We argue that assessing the level of crime concentration across cities has four challenge...
Urban crimes are not homogeneously distributed but exhibit spatial heterogeneity across a range of s...
The current study spatially examines the local variability of robbery rates in the City of Saint Lou...
Criminologists have long-known that spatial crime patterns vary across different geographic areas. U...
This study investigates patterns of micro-scale concentrations of different types of crime using the...
This study investigates patterns of micro-scale concentrations of different types of crime using the...
This study investigates patterns of micro-scale concentrations of different types of crime using the...
This study investigates patterns of micro-scale concentrations of different types of crime using the...
Abstract Over the last 40 years, the question of how crime varies across places has gotten greater a...
Abstract The current study examines spatial dependence in robbery rates for a sample of 1,056 cities...
Abstract Purpose/background A new body of research that focuses on crime harm scores rather than cou...
Static indicators may fail to capture spatiotemporal differences in the spatial influence of urban f...
Whereas there is a burgeoning literature focusing on the spatial distribution of crime events across...
Objectives: Given the evidence that crime events exhibit both a spatial and a temporal pattern, we e...
The structure and functions of neighborhoods determine the impact of measures used to estimate the d...
Objectives We argue that assessing the level of crime concentration across cities has four challenge...
Urban crimes are not homogeneously distributed but exhibit spatial heterogeneity across a range of s...
The current study spatially examines the local variability of robbery rates in the City of Saint Lou...
Criminologists have long-known that spatial crime patterns vary across different geographic areas. U...
This study investigates patterns of micro-scale concentrations of different types of crime using the...
This study investigates patterns of micro-scale concentrations of different types of crime using the...
This study investigates patterns of micro-scale concentrations of different types of crime using the...
This study investigates patterns of micro-scale concentrations of different types of crime using the...
Abstract Over the last 40 years, the question of how crime varies across places has gotten greater a...
Abstract The current study examines spatial dependence in robbery rates for a sample of 1,056 cities...
Abstract Purpose/background A new body of research that focuses on crime harm scores rather than cou...
Static indicators may fail to capture spatiotemporal differences in the spatial influence of urban f...