Data visualization is highly needed in urban and regional planning. One popular option for describing data is through radar charts, as they make comparisons much easier to do. On the other hand, radar charts can also be misleading as the larger the area graph is, the better it is valued. However, that is incorrect since the area graph can easily be changed if the order of the axes changes or if there is a correlation between the neighboring axes. In this paper, we will reveal how the area graphs change, focusing on the correlation of spatial data.
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