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Spatial Analysis on the Crimes Rate Using Regression Kriging Model.(A Case Study of Katsina State)

Domain:

peace and securitygeospatial

Record type:

paper
Creator:
UmaShaYarIsm
Publisher:
Zenodo
Host:avatar
ABSTRACT The aim of the study is to investigates and predict the spatial variability of crimes rate using Geostatistical techniques in Katsina State. The reported crimes to the Katsina State Police Command  Consists of Grevious hurt and Wounded, Cattle rustlers, Rape, Kidnapping, Assaults, Stealings and Burgulary. The data is collected from Criminal Investigations Department Unit in Katsina State Command from 2010 to 2019. The method applied for this research was Regression-Kriging Model (RK) to test the fitted Variogram Model and Spatial dependencies of variables examined. The results predicted that, the crimes rate were found in Dantamba, Sheme, Dofar-Mato, Gunya, Dankar, Rubau, Sawai, Wurma, BirinyaTsakatsa, Dankamtsa, Gardawa, and Katsalle Villages will increases in a long run. The findings also confirmed that, high level of unemployed youth and poverty rate in the study areas have a positive impact on socio-economic factor that influenced the crimes rate.

Visit

doi.orgzenodo.org

Languages

HausaSwahili, Coastal

Tags

Spatial Analysis, Crimes Rate, Regression Kriging Model

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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