The sales character analysis of retails based on K-means method and spatial correlation

doi:10.13474/j.cnki.11-2246.2019.0284

测绘通报 ›› 2019, Vol. 0 ›› Issue (9): 51-54.doi: 10.13474/j.cnki.11-2246.2019.0284

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The sales character analysis of retails based on K-means method and spatial correlation

WANG Luyao¹, GAO Shan², LI Jun², FAN Hong¹

1. State Key Lab for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 441000, China;
2. Guizhou Tobacco Company Guiyang Company, Guiyang 550000, China

Received:2018-04-29 Revised:2019-07-12 Online:2019-09-25 Published:2019-09-28

Abstract

Abstract: Retail activities, as one of the cores of urban commercial activities, can efficiently reflect the city's economic level and consumer's consumption habits. To obtain consumer characteristics in micro-scale, this study makes use of the sales data of retail shops in Guiyang and propose the sales feature extraction methods to extract information through sales performance. The key characteristics of each store is found out existing fitting relationship with actual sale performance, based on which optimized allocation strategy for retail shops are carried out. The research in this paper can change the decision-making process of the current enterprise and improve the social-economic benefits.

Key words: retails, micro-scale, sales characteristics, K-means

CLC Number:

P208

WANG Luyao, GAO Shan, LI Jun, FAN Hong. The sales character analysis of retails based on K-means method and spatial correlation[J]. 测绘通报, 2019, 0(9): 51-54.

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The sales character analysis of retails based on K-means method and spatial correlation

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