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Spatial Modeling of Crime by Using of GWR Method

Authors: Somayeh Nezami; Ehsan Khoramshahi;

Spatial Modeling of Crime by Using of GWR Method

Abstract

Since the location, human and time are three major factors in incidence of delinquency which includes drug smuggling, therefore, geographic analysis of type and amount of crimes, analysis of social and economic features of perpetrators and their residence place provide suitable opportunity for confronting and controlling abusing and drug smuggling or preventing from its perpetration. Therefore, in this article, at first, crime data relevant to drug smuggling in Southern Khorasan Province of Iran from the randomness point of view were studied. Then, distribution of crimes and its relation with each of the spatial and descriptive variables were examined. Then, crime distribution was modeled according to variables such as population, distance from city, distance to the nearest police station and illiteracy by using Geographically Weighted Regression1. Finally, first grade polynomial and four variables were acquired by using the least squares method which is compared by GWR.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Top 10%
Average
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