Method for Determining the Size of Grid for Clustering on Multi-Scale Web Map Services using Location-Based Point Data

摘要

The present invention relates to a method capable of determining a proper size of a grid while minimizing a modifiable areal unit problem (MAUP) when clustering a point data including positional information on a multi-scale web map. That is, the present invention considers quantitative aspects and qualitative aspects in clustering, and as a result, it is possible to minimize the influence of the MAUP. In order to consider quantitative aspects, a proper number of grids to be expressed for each scale may be calculated by using Topfers Radical Law, which is one of map generalization operators. In order to consider qualitative aspects, a size of grids, which can maintain the intrinsic distribution characteristic of the data even during the clustering process is performed for each scale, is determined by using Morans I, which is one of the global spatial relevance indexes. Thus, it is possible for users of a map service to obtain the same visual information about the distribution characteristic of the original data even when the scale of the map changes and the influence of the MAUP can be minimized.