An Improved Pseudo Distance Scale for Measuring One-to-many Relationships inMultidimensional Scaling

In this study, we compared different pseudo distance measures used on a set ofrainfall data recorded between the years 1968 and 2003 at nine rain gauge stations. Thedata is mapped on 2D plots where Euclidean distance and two different units of pseudoscaledistance are applied through Multidimensional Scaling visualization techniques.The results show that a higher unit of Pseudo distance scale gives the smallest STRESSvalue when compared to the others. This implies that this type of distance measurereduces the mismatch between the distance rank order in the data and the rank order ofdistances in the ordinations.