Crime Concentration and Temporal Stability in Spatial Patterns of Crime in Nis, Serbia

Abstract

The research objectives were to examine the concentration of crime and its temporal patterns in Niš and compare the related research results in spatial criminology.Longitudinal property and violent crime data were geocoded and assigned to three types of grid cells. Descriptive statistics were used to examine crime concentration, and spatial stability of crime was tested using a spatial point pattern test. The findings suggest an intense concentration of all crime types within all areal units and years of study. The higher rates of concentration were found in the analysis of less common robbery and violent crime. Findings of spatial pattern analysis suggest moderate to a high degree of similarity in spatial patterns among all crime types. On the other hand, sensitivity analysis indicates significant changes in the spatial distribution of both property and violent crime. Therefore, an alternative method is applied. Theoretical implications are discussed, highlighting routine activities and crime pattern theory.The study aims to instigate more spatial analysis of crime and evidence-based criminal policies within the region.

Algorithms for Computer-Based Calculation of Individual Strand Tensioning in the Stay Cables of Cable-Stayed Bridges

“…The stay cable computational model [38], with strands of characteristics according to Table 1, Table 2 and for the fictitious rod with cross-sectional area A f , as per relation ( 4), is given in Figure 9. The stay cable computational model [38], with strands of characteristics according to Table 1, Table 2 and for the fictitious rod with cross-sectional area Af, as per relation ( 4), is given in Figure 9.…”