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

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Using Geographically Weighted Regression to estimate the spatial patterns of fuelwood utilization in Nigeria. / Naibbi, Ali; Healey, Richard George.

In: American Journal of Geographic Information System, Vol. 3, No. 3, 07.2014, p. 109-121.

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Naibbi, Ali ; Healey, Richard George. / Using Geographically Weighted Regression to estimate the spatial patterns of fuelwood utilization in Nigeria. In: American Journal of Geographic Information System. 2014 ; Vol. 3, No. 3. pp. 109-121.

Bibtex

@article{a661ae49a8fa4737b18443b7f190fa28,
title = "Using Geographically Weighted Regression to estimate the spatial patterns of fuelwood utilization in Nigeria",
abstract = "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{\textquoteright}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.",
keywords = "Nigeria, Northern Nigeria, Fuelwood, Fossil Fuel Supply, Geographically Weighted Regression (GWR)",
author = "Ali Naibbi and Healey, {Richard George}",
note = "http://www.sapub.org/journal/archive.aspx?journalid=1053&issueid=2002 Published under a CC-BY licence.",
year = "2014",
month = jul,
doi = "10.5923/j.ajgis.20140303.01",
language = "English",
volume = "3",
pages = "109--121",
journal = "American Journal of Geographic Information System",
issn = "2163-1131",
number = "3",

}

RIS

TY - JOUR

T1 - Using Geographically Weighted Regression to estimate the spatial patterns of fuelwood utilization in Nigeria

AU - Naibbi, Ali

AU - Healey, Richard George

N1 - http://www.sapub.org/journal/archive.aspx?journalid=1053&issueid=2002 Published under a CC-BY licence.

PY - 2014/7

Y1 - 2014/7

N2 - 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.

AB - 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.

KW - Nigeria

KW - Northern Nigeria

KW - Fuelwood

KW - Fossil Fuel Supply

KW - Geographically Weighted Regression (GWR)

U2 - 10.5923/j.ajgis.20140303.01

DO - 10.5923/j.ajgis.20140303.01

M3 - Article

VL - 3

SP - 109

EP - 121

JO - American Journal of Geographic Information System

JF - American Journal of Geographic Information System

SN - 2163-1131

IS - 3

ER -

ID: 3534502