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Silver-T 2018-05-04 15:31:51 +10:00
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"\n",
"Extrapolating data from a graph in Dong et al.<sup>1</sup> provided time series data (divided into three radius') to analyse. This data was collected by visually estimating the values from the graph which will inherently introduce a source of error. However, by computing the z-score as described in Equation 2, the table provided in Figure 3 was constructed. Each of the z-score values in the table are negative, indicating a decrease in both the number of customers and median spending on Day 62. The much larger magnitude of z-scores for the <2km distance ring for both variables is in agreement with earlier discussion, strengthening the hypothesis of the spatial correlation of consumer spending.\n",
"\n",
"Each of the above tests have agreed on the spatial and temporal correlation of consumer spending and socially disruptive events. With the limited data available, we can therefore concur with the hypothesis of Dong et al. that consumer spending decreases in the area around disruptive social behaviour, after finding the temporal correlation on Day 62, as well as the spatially decreasing effect further from the event. However, the original study lacks robustness (with only credit card data from two events in the same geographic area), and generalisability (only one type of disruptive behaviour was studied)."
"Each of the above tests have agreed on the spatial and temporal correlation of consumer spending and socially disruptive events. With the limited data available, we can therefore concur with the hypothesis of Dong et al. that consumer spending decreases in the area around disruptive social behaviour, after finding the temporal correlation on Day 62, as well as the spatially decreasing effect further from the event."
]
},
{