Geographical Variation of the Quality of the School Offer in the City of Mbujimayi (Dr Congo): Data Processing by the Method of Multivariate Spatial Analysis

Kayembe Mpinguyabo, Kakese Kunyima and Kanda Nkula

Journal of Geography and Geology, 2017, vol. 9, issue 1, 63

Abstract: This article presents spatial data related to the quality of school infrastructures in the city of Mbujimayi so as to bring out their characteristics and the typology of quarters which contain these infrastructures. The variables used are presented in the spatial information matrix. The principal components analysis and factorial analysis of correspondences helped make the description of associations based on these variables. The correlation matrix gave birth to channels of the strongest positive correlations (r ≥ 0.60) and resulted in the principal component analysis. The main results are-The cartography of quarters containing schools.The spatial disparity between the variables having degrees of affinity with the location and topography of adequate school site, sanitation, access to public services, and matching buildings. These variables are opposite to those related to unsanitary, localization and indecent topography of the site as well as non-school access to public services.A strong interaction between sanitation and access to public services, including running water and electricity, determining the quality of schools.

Date: 2017
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