This project was inspired by Geoff Boeing, where he conceptualized the use of a polar histogram/rose diagram to compare orientations of streets in cities around the works.

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The polar histogram charts out the frequencies of streets at different angles. For Instance, a cross (+) appearance would imply a grid-like street network structure.

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I have recreated this method in R and applied it to our spatial model to analyze the difference in spatial configurations within the 31 electoral boundaries in Singapore (2020). The analysis accounts for a multi-modal street network and the number of line segments is shown on the number to the right of each name.

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Debateably, electoral boundaries are not the best representation of organic boundaries in their respective neighbourhood. One might argue that such diagrams and data have limited use in understanding the pedestrian/traffic experience in these areas.

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However, this could be viewed from a different angle - the structural patterns of spaces could provide us with hints as to how neighbourhood communities form their natural social boundaries. And of course, this could also possibly tell us its influence on the quality of social interactions within the community.

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This experiment, not only serves as an idea for me to think about, but also intends to capture the aesthetics of our local streets in a rather unorthodox form.