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Volume :8 Issue : 32 1982      Add To Cart                                                                    Download


Auther : By: Abdul-Ilah Abu-Ayyash

The purpose of this paper is to investigate the geographical distribution of population activities in Kuwait, through revealing the underlying patterns characterizing urban growth and change in the different parts of the country. Such patterns, which represent the geographical distribution of urban activities, could be detected through data manipulation of variables related to the socio-economic characteristics of the population of Kuwait.


To achieve these objectives, the study is divided into three parts: Firstly, discussions of the concept of factorial ecology; a concept, which refers to the employment of factor analysis methods to the study of socio-economic characteristics in urban environments. Examples from previous geographic literature on factorial ecology and the role of factor analysis in geographic research were used to clarify this concept.


The second part identifies the study area and the selected variables. The study area covered all parts of Kuwait, which was divided into 29 enumeration districts. The study included 32 variables related to Kuwaiti and non-Kuwaiti population. The variables describe a wide spectrum of economic, social, and administrative characteristics of the two groups in the country.


Data analysis and results are discussed in the third part. The technique of Principle Component Analysis was employed to extract a suitable number of dimensions representing the major geographic patterns of population activities in Kuwait. The dimensions were orthogonally rotated to extract a maximum percentage of the explained variance in the original variables.


The results of data manipulation revealed four major dimensions (factors). The extracted factors were able to explain about 97% of the total variance.


The first dimension, which was called the non-Kuwaiti factor, included fifteen variables. It explained about 48% of the total variance. The second dimension was named the Kuwaiti factor since it represented the major characteristics of the Kuwaiti population. This factor explained about 30% of the total variance. It included ten of the original number of variables.


Four variables are condensed around the third dimension, which explained 10% of the total variance. It was called the factor of technical activities of the Kuwaiti population. The fourth included only three variables and its contribution to the total explained variance was relatively small.


Accordingly, four major patterns of different socio-economic activities were identified among the Kuwaiti and non-Kuwaiti population. The patterns spread geographically in four different forms, thus characterizing the intensity and the concentration of human activities in Kuwait.

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Dec 26, 2021

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