High-cost Outdoor Advertising Site Selection Method Based on Co-location Pattern
High-cost outdoor advertising site selection is helpful to maximize advertising revenue. This paper proposes a site selection method of high-cost outdoor advertising based on spatial co-location pattern,abbreviated as CLOS,which uses weighted participation index (WPI) to solve the problem of pattern loss of rare high-cost advertising,and defines the pattern significance level to transform the pattern mining results into site selection of high-cost advertising. The CLOS method was applied to the main urban area of Wuhan,using 86949 records of POI in 12 types and 7875 records of outdoor advertisements in 2 types. Six high-cost advertising and POI co-location patterns (HPCP) were excavated in five training areas such as Hongshan district,and they were used in the verification are-a,Hanyang district,to generate advertising recommendation location and evaluate the method performance. The results shows that the method found 75％ of the high-cost advertising within 6.5％ of the verification area,and is suitable for the application scenarios highly related to the economy.
outdoor advertisingspatial data miningspatial co-location patternspatial association significant indexsite selection
万方数据
维普
