Crime beyond the edge: development of a tool to correct the edge effect on crime count
Metadatos
Mostrar el registro completo del ítemEditorial
Taylor & Francis
Materia
Edge effect ArcGIS toolbox Aggregated crime data Artificially bounded space Counting crime
Fecha
2022-03-20Referencia bibliográfica
Daniel Salafranca Barreda, Diego J. Maldonado-Guzman & Patricia Saldaña- Taboada (2022) Crime beyond the edge: development of a tool to correct the edge effect on crime count, Annals of GIS, 28:3, 279-292, DOI: [10.1080/19475683.2022.2052748]
Resumen
The edge effect is a problem that can alter the results of some analyses, such as counting crime
within a given geographic area. This article introduces a tool developed for ArcGIS toolbox, (ArcGIS
Geographic Information System) to correct the border issues when using an aggregated crime data
to artificially bounded space analytical units. It uses a method which considers those points located
near the edge of the analysis unit, and avoids increasing the number of criminal points by
assigning a value according to the distance of the edge. For this purpose, two functions based
on decay with distance can be chosen: normal and linear. In order to show the performance of the
tool, a sample of theft data occurred in 2016 in each census tract of Barcelona (Spain) district was
used. These results show remarkable differences in the number of thefts in each census tract,
before and after applying the edge correction. Some of the census tracts even went from
experiencing no theft at all to having 5.5 or 4.5 incidents after correcting the edge effect. Finally,
to demonstrate the benefits of the proposed tool, other strategies traditionally used as a solution
for the edge effect were used. Then, the results are compared with those previously obtained.