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Fig. 6 | Journal of Big Data

Fig. 6

From: Detecting and understanding urban changes through decomposing the numbers of visitors’ arrivals using human mobility data

Fig. 6

Procedure to detect changes of the trend of activity in an area: (1) The proposed method detects changes of the inferred number of visitors’ arrivals for each activity type. (2) The method scores the degree of change of point i by calculating the Jensen-Shannon divergence between the two partial distributions P and Q. (3) The method ignores the scores of points that are located near the maximum points

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