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Data generalization

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Figure 1. Procedure flow chart for data visualization

a. Building an iterative model in order to transform all the data into the same projection: UTM 17 zone.

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b. Clipping all the data based on the city boundary layer.

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c. Creating an attribute table that includes hour, week and month information for the traffic accidents data by using excel.

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d. Adding binary fields for the traffic accidents data by using field calculator. For the convenience of calculation, we added several binary fields (0/1) for variables we are going to examine, that included the spatial variables such as road location and speed; and temporal variables from the times of a day, the week and the season. For example, we added a field named “intersection” , if an accident occurred at intersection, we gave it a value of 1; if it occurred at mid-block, we gave the value 0.

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