Geovisualization of Nonresident Students’ Tabulation Using Line Clustering

Today, we are abundance with a huge amount of space-related data. Hidden within this data is rich knowledge which can be discovered through geovisualization method. This method supports interactive simulation on data via its visual form. The data is plotted on a map to create density population where it forms patterns and through exploration of the patterns, the hidden knowledge is extracted. However, during the plotting process, overlapping of dots occurs, and it distorts the density. Thus, the overlapped dots need to be repositioned. The overlap is the main issue in mapping University Teknologi MARA nonresident student tabulation that complicates the analysis process. The overlap cannot be avoided since students are centered in three main towns, and they stay close to each other. Most of the dot replacement methods are centered on neighboring clustering where these dots are relocated to a location closer to their original locations. Thus, this research introduces a new relocation method where line clustering is used instead of neighboring clustering as a mean to distribute density. The line clustering method was tested, and results indicate that line clustering is capable to portray a better data density.