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STS520 Xin Zheng et al.
0.05, indicating that the residuals have no autocorrelation and are a white
noise series. To sum up, the population size is predicted by using the
correlation of population stock in time, and the outcomes of model fitting are
good.
Figure 1. Historical Data about the Number of Mobile Phone Users in
Tiantongyuan Area.
Figure 2. Autocorrelation Coefficient and Partial Autocorrelation Coefficient.
Figure 3. Fitting Result Based on the Time Series Correlation
(2) Similarly by taking Tiantongyuan area as an example, the geographic
area is divided into the grids according to the area size of 100m*100m. The
Euclidean distance between the target grid and the surrounding grids is
calculated, and then the reciprocal of this distance is taken as a weight. The
daily population size around the target grid from March 1 to March 21, 2019
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