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Using Geographically Weighted Regression to estimate the spatial patterns of fuelwood utilization in Nigeria

机译:使用地理加权回归来估计尼日利亚薪材利用的空间格局

摘要

While the use of fuelwood for cooking among households in the various states of Nigeria supersedes any other cooking fuel type, the consumption pattern is spatially heterogeneous in the country. This paper uses Nigerian socio-economic data and fossil fuel distribution data obtained from the National Population Commission and the Nigerian Petroleum Corporation respectively to identify the diverse spatial pattern of fuelwood utilization in Nigeria, using Geographically Weighted Regression (GWR) model (local regression). The results of the local regression model coefficients highlights the relationships of fuelwood usage with its impact factors, as well as the spatial variations in the use of fuelwood amongst the 36 states of Nigeria (and Abuja the capital city). The analysis of these results, supported by the existing literature, leads to the conclusion that the northern part of the country uses more fuelwood than the south, which is closely related to the region’s socio-economic activities. This method reveals the local aspects of the relationships which may be concealed when qualitative analysis or global regression (which assumes that one model fits all) are used.
机译:尽管尼日利亚各个州的家庭使用薪柴做饭已经取代了其他任何类型的烹调燃料,但该国的消费模式在空间上是异质的。本文使用分别从国家人口委员会和尼日利亚石油公司获得的尼日利亚社会经济数据和化石燃料分布数据,通过地理加权回归(GWR)模型(局部回归)来确定尼日利亚薪柴利用的不同空间格局。局部回归模型系数的结果突出了尼日利亚36个州(和首都阿布贾)之间薪材使用及其影响因素之间的关系,以及薪材使用的空间变化。在现有文献的支持下,对这些结果的分析得出的结论是,该国北部使用的薪柴多于南部,这与该地区的社会经济活动密切相关。此方法揭示了使用定性分析或全局回归(假设一个模型适合所有模型)时可能隐藏的关系的局部方面。

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