The Spatial- Temporal Prediction of Various Crime Types: In Houston, TX Based on Hot-Spot Techniques - Softcover

Fan, Shuzhan; Leitner, Michael

 
9783659631573: The Spatial- Temporal Prediction of Various Crime Types: In Houston, TX Based on Hot-Spot Techniques
Softcover
ISBN 10: 3659631574 ISBN 13: 9783659631573
Verlag: LAP LAMBERT Academic Publishing, 2018

Inhaltsangabe

A series of hotspot mapping theories and methods have been proposed to predict where and when a crime will happen. Each method has its strengths and weaknesses. In addition, the predictive accuracy of each hotspot method varies depending on the study area, crime type, parameter settings of each method, etc. The predictive accuracy of hotspot methods can be quantified by three measures, which include the hit rate, the predictive accuracy index (PAI), and the recapture rate index (RRI). This work applied eight hotspot mapping techniques from the crime analysis field to predict crime hotspot patterns. In addition, these hotspot methods were compared and evaluated in order to possibly find a single best method that outperforms all other methods based on the three predictive accuracy measures. Identifying the single best method is carried out for all Part1 Crimes combined and individually, for five of the nine Part 1 Crime. In addition to the spatial analysis, a spatial–temporal analysis of the same crime dataset was conducted to investigate the distribution of crime clusters from both the space and time dimensions.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Shuzhan Fan is a PhD student in the Department of Geography and Anthropology at Louisiana State University (LSU). He received his Bachelor's degree of Geomatics Engineering from Central South University in China in 2012 and Mastes's degree of Geography from LSU in 2014. His main research area is crime analysis, spatial statistics, and GIS.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
3659631574
ISBN 13 
9783659631573
Einband
Taschenbuch
Anzahl der Seiten
80
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Presses Academiques Francophones
customerservice@vdm-vsg.de

Brivibas gatve 197
Riga
1039
Lettland