尼日利亚监狱囚犯分布的空间分析

G. Oyeyemi, A. Kareem, Etannibi E. O. Alemika, A. Ibraheem, O. Oladuti
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引用次数: 0

摘要

尼日利亚现有监狱设施的数量因州而异,也因区域而异。因此,囚犯在这些惩教设施中的分布是不同的。本研究调查了尼日利亚各惩教机构(监狱)的囚犯分布,并考虑到分布的空间效应,探讨了可能影响分布的因素。考虑的因素有;年、月、州、地区、性别和州人口。利用普通最小二乘法(OLS)得到多元回归模型,Moran’s I空间自相关检验表明,尼日利亚各监狱在押人员分布存在空间自相关。采用空间自相关回归模型(SARM)拟合回归模型。OLS方法表明除州外所有因素都显著,而SARM方法发现在模型中考虑的因素中,州和地区都不显著。SARM不仅提供了尼日利亚各监狱囚犯的良好紧凑的空间分布情况,而且还提供了比OLS方法更好的囚犯分布预测值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial Analysis of Distribution of Inmates in Nigeria Prisons
The 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.
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