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http://dx.doi.org/10.7848/ksgpc.2017.35.6.581

Analyzing Influence Factors of Foodservice Sales by Rebuilding Spatial Data : Focusing on the Conversion of Aggregation Units of Heterogeneous Spatial Data  

Noh, Eunbin (Dept. of Urban Planning, Gachon University)
Lee, Sang-Kyeong (Dept. of Urban Planning, Gachon University)
Lee, Byoungkil (Dept. of Civil Engineering, Kyonggi University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.35, no.6, 2017 , pp. 581-590 More about this Journal
Abstract
This study analyzes the effect of floating population, locational characteristics and spatial autocorrelation on foodservice sales using big data provided by the Seoul Institute. Although big data provided by public sector is growing recently, research difficulties are occurred due to the difference of aggregation units of data. In this study, the aggregation unit of a dependent variable, sales of foodservice is SKT unit but those of independent variables are various, which are provided as the aggregation unit of Korea National Statistical Office, administration dong unit and point. To overcome this problem, we convert all data to the SKT aggregation unit. The spatial error model, SEM is used for analysing spatial autocorrelation. Floating population, the number of nearby workers, and the area of aggregation unit effect positively on foodservice sales. In addition, the sales of Jung-gu, Yeongdeungpo-gu and Songpa-gu are less than that of Gangnam-gu. This study provides implications for further study by showing the usefulness and limitations of converting aggregation units of heterogeneous spatial data.
Keywords
Foodservice Sales; Aggregation Unit; Spatial Autocorrelation; Floating Population;
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Times Cited By KSCI : 1  (Citation Analysis)
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