Measuring spatio-temporal autocorrelation in time series data of collective human mobility

Figures & data

Figure 1. The tuning function $\varphi ()$.

Figure 2. Spatial distribution of (a) pick-ups and (b) drop-offs.

Figure 3. Temporal variance per week of (a) pick-ups and (b) drop-offs.

Figure 4. Spatio-temporal LISA within the 6th Ring Road. (a) Distribution of the LISA of pick-ups. (b) Distribution of the LISA of drop-offs. (c) Spatial pattern of pick-ups. (d) Spatial pattern of drop-offs.

Figure 5. Spatio-temporal LISA within the 5th Ring Road. (a) Distribution of the LISA of pick-ups. (b) Distribution of the LISA of drop-offs. (c) Spatial pattern of pick-ups. (d) Spatial pattern of drop-offs.

Table 1. Comparation of the spatio-temporal autocorrelation measurement and the classical measurement.

		pick-ups		drop-offs
region	autocorrelation measurement	I	z-score	I	z-score
6th Ring Road	spatio-temporal	0.507**	141.22	0.369**	102.78
	classical	0.431**	120.2	0.406**	113.2
5th Ring Road	spatio-temporal	0.681**	87.6	0.639**	82.3
	classical	0.424*	54.7	0.404*	52.1

* 0.1 significance level; ** 0.01 significance level.

Figure 6. Classical LISA. (a) Distribution of the LISA of pick-ups and drop-offs within the 6th Ring Road. (b) Spatial pattern of pick-ups and drop-offs within the 6th Ring Road. (c) Distribution of the LISA of pick-ups and drop-offs within the 5th Ring Road. (d) Spatial pattern of pick-ups and drop-offs within the 5th Ring Road.