Results 211 to 220 of about 2,624,543 (235)

Integrating Sketch Maps with GIS to Explore Fear of Crime in the Urban Environment: A Review of the Past and Prospects for the Future

Cartography and Geographic Information Science, 2012
Jacqueline Curtis
exaly   +2 more sources

MSKDE - Using Marching Squares to Quickly Make High Quality Crime Hotspot Maps

SIBGRAPI Conference on Graphics, Patterns and Images, 2016
Creto Augusto Vidal, JOSÉ Florencio De Queiroz Neto   +1 more
exaly   +2 more sources

A randomized experimental study of sharing crime data with citizens: Do maps produce more fear?

Journal of Experimental Criminology, 2005
Elizabeth Groff
exaly   +2 more sources

Stuck in the past with push-pins on paper maps: Challenges of transition from manual to computerized crime mapping and analysis in Kenya

International Journal of Police Science and Management, 2019
Although crimes and the modus operandi of perpetrators across the world change constantly, some policing tools, especially in developing countries, remain the same.
G. E. Baraka, S. Murimi
exaly   +2 more sources

Comparing Police and Residents’ Perceptions of Crime in a Phoenix Neighborhood using Mental Maps in GIS

Yearbook of the Association of Pacific Coast Geographers, 2010
Chris Lukinbeal
exaly   +2 more sources

CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching

European Conference on Computer Vision
Shoeprints are a common type of evidence found at crime scenes and are used regularly in forensic investigations. However, existing methods cannot effectively employ deep learning techniques to match noisy and occluded crime-scene shoeprints to a shoe ...
S. Shafique, Shu Kong, Charless C. Fowlkes   +2 more
semanticscholar   +1 more source

Topography and crime in place: The effects of elevation, slope, and betweenness in San Francisco street segments

Journal of Urban Affairs, 2021
Few studies have investigated how features of the land surface and the street network affect spatial crime patterns. Accordingly, for the current study, we estimated negative binomial regression models to test for main and moderating effects of elevation,
Young-An Kim, James C. Wo
semanticscholar   +1 more source

Crime Level Prediction using Stacked Maps with Deep Convolutional Autoencoder

CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, 2019
Chicago is denoted one of the most dangerous cities in the United States and its crime data are free available on the web portal of the town. This information has been often used to analyze and predict crime events, using statistical and machine learning
N. Esquivel, B. Peralta, O. Nicolis
exaly   +2 more sources

Community Safety Maps for Children in Japan: An Analysis from a Situational Crime Prevention Perspective

Asian Journal of Criminology, 2011
Recent years have witnessed several major crimes against children both inside, and in the vicinity of, schools in Japan. These criminal incidents have heightened parental and community concerns regarding the safety of children in school.
Nobuo Komiya
exaly   +2 more sources

Mapping harmspots: An exploration of the spatial distribution of crime harm

Applied Geography, 2019
Recent attention to the use of harm indices to weight crime counts in mapping analysis has led to the development of “harm spot” maps. Early studies have shown that harm spots (i.e., clusters of harm-weighted crimes) follow geographic patterns similar to
Danielle M. Fenimore
semanticscholar   +1 more source