Geographies of Crime

Autor(en)
Michael Leitner, Philip Glasner, Ourania Kounadi
Abstrakt

Geographies of crime are based on the spatial concept that combines social, natural, and environmental sciences. Geographic information systems crime analysts are highly sought after by law enforcement agencies from the local to the international level around the globe. Positive spatial autocorrelation (SA) is an arrangement where crime locations with similar attribute values are spatially clustered. In contrast, spatial cold spots are crimes with low attribute values that are spatially close. The starting point to measure the local Moran is crime data aggregated to enumeration units and visualized in the form of a choropleth map. The discussion of geographies of crime focuses primarily on the spatial concept and Tobler’s first law (TFL) of geography. TFL is probably the most important law in geography, since its concept is the basis of many spatial statistical methods that have been developed since its publication, and include SA, spatial interpolation, and different ways to identify spatial hot and cold spots.

Organisation(en)
Institut für Geographie und Regionalforschung
Externe Organisation(en)
Louisiana State University, Carl Zeiss GmbH
Seiten
60-63
Anzahl der Seiten
4
DOI
https://doi.org/10.1002/9781119111931.ch12
Publikationsdatum
08-2021
Peer-reviewed
Ja
ÖFOS 2012
507001 Angewandte Geographie, 505008 Kriminologie
Schlagwörter
ASJC Scopus Sachgebiete
Allgemeine Sozialwissenschaften
Sustainable Development Goals
SDG 16 – Frieden, Gerechtigkeit und starke Institutionen
Link zum Portal
https://ucrisportal.univie.ac.at/de/publications/82ba0abf-3fc4-4a65-9a88-67df88459b56