Spatial Analysis of Distribution of Inmates in Nigeria Prisons

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dc.contributor.authorOyeyemi, G. M.
dc.contributor.authorKareem, A. O.
dc.contributor.authorAlemika, E. E. O.
dc.contributor.authorIbraheem, B. A.
dc.contributor.authorOladuti, O. M.
dc.date.accessioned2023-07-27T09:09:55Z
dc.date.available2023-07-27T09:09:55Z
dc.date.issued2022
dc.description.abstractThe number of prison facilities available in Nigeria differs from state to state as well as across the regions. Hence the distribution of the inmates across these correctional facilities differs. This study investigates the distribution of the inmates across Nigeria correctional facilities (prisons) and the likely factors that may influence the distribution considering the spatial effect of the distribution. The considered factors are; year, month, state, region, gender and state population. Ordinary Least Square (OLS) was used to obtain the multiple regression model and Moran’s I test of spatial autocorrelation showed that there is presence of spatial autocorrelation in the distribution of inmates across Nigeria prisons. The Spatial Autocorrelation Regression Model (SARM) was therefore adopted to fit the regression model. While OLS approach indicated that all factors are significant except state, the SARM approach found both state and region not to be significant among the factors considered in the model. The SARM did not only give good compact spatial distribution of the inmates across Nigeria prisons it also gave a better predicted (forecast) values of inmates’ distribution than the OLS approach.en_US
dc.description.sponsorshipSelf-sponsoreden_US
dc.identifier.citationIlorin Journal of Scienceen_US
dc.identifier.issn2408 - 4840
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11641
dc.language.isoenen_US
dc.publisherFaculty of Physical Sciences, University of Ilorin, Nigeriaen_US
dc.relation.ispartofseries8(1);21 - 35
dc.subjectAutocorrelation, Inmates, Prison, Spatial Regressionen_US
dc.titleSpatial Analysis of Distribution of Inmates in Nigeria Prisonsen_US
dc.typeArticleen_US

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