Feb 9, 2008 · This study provides a bootstrap-based surveillance model to find space–time clusters and an application to residential crime occurrences in ...
This study proposes a bootstrap-based space–time surveillance model. Designed to find emerging hotspots in near-real time, the bootstrap based model is ...
A bootstrap based space–time surveillance model with an application to crime occurrences ... Space-time permutation statistics application to detect cloud ...
Feb 20, 2010 · In this review, we focus on the role of contextual factors such as scale, scope, surveillance objective, disease characteristics, and technical issues.
This paper proposes a cross-STRRF to identify spatio-temporal locations that experience statistically significant changes in their density of events.
In this review, we focus on the role of contextual factors such as scale, scope, surveillance objective, disease characteristics, and technical issues.
This study proposes a bootstrap-based space–time surveillance model. Designed to find emerging hotspots in near-real time.
A bootstrap based space–time surveillance model with an application to crime occurrences. Youngho Kim; Morton O'Kelly. Original Article 09 February 2008 Pages ...
A bootstrap based space-time surveillance model with an application to crime occurrences. Journal of Geographical Systems 10: 141–65. Kleinman, K., R ...
A bootstrap based space–time surveillance model with an application to crime occurrences · Geography. Journal of Geographical Systems · 2008.