THE SPATIAL FACTOR ANALYSIS FOR ANALYSING CRIME-RELATED ASSAULTS IN KUALA LUMPUR
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Abstract
This study analyzes the spatial factors that are contributive towards the occurrences of crime-related assaults in Kuala Lumpur. It is vital to identify what are the spatial factors that are closely associated with such violence. Therefore, the appropriate method for addressing the above problem is factor analysis. Data was collected from 442 samples of the census tract data in Kuala Lumpur. The data was converted into spatial data or spatial factors using Geography Information Systems (GIS) applications and grouped into three category groups of spatial factors which include (i) socio-demography, (ii) land use, and (iii) geographical factors. A principle component analysis was conducted on 28 items. The Kaiser Meyer Olkin (KMO) validated the sampling adequacy for the analysis, KMO=.80. There are 7 components that have eigen values more than 1 and in combination, are able to explain 78.66 percent of the variance. Values in the Rotated Component Matrix indicated that factor 1 has 14 items (socio-demographic features) while factor 2 has 11 items (land use and geographical features). Besides this, the Component Transformation Matrix shows that the correlations between factors are low, all of which are below .20(.16). This indicates that these 2 factors are independent and construct independently. Based on the results, 25 items from 2 major components can be used as a factor for predicting crime-related assaults.
Keywords: crime-related assault, spatial factors, factor analysis
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