Spatial Co-location Pattern Mining Applications In Urban Planning

In the 21st century, with our country's rapid development, people's living standards are improved quickly. But, thus triggering a series of urban problems, and so caused a lot of hot debate. Such as the city's population and scale are growing rapidly. In the city, the number of schools, hospitals, companies and some other components continued growth. From another perspective, this phenomenon means that there are more and more rich urban space data, how can we find useful knowledge from this rich space data, and help the government to make a better decision in the planning of the new city construction. This question become a very significant research and application direction.Data Mining (DM), also known as knowledge discovery, is used to find meaningful knowledge from database. The research direction of DM including association analysis, cluster analysis, spatial co-location pattern mining and so on.Using the spatial co-location pattern mining to analysis the urban spatial objects, and find knowledge from the spatial data. For example which kind of space objects are generally around the shopping. Some knowledge like this looks very interesting.This paper is written to solve the above problems, to sum up, this paper is mainly do the following aspects of work.(1)To analysis the DM, especially the spatial co-location pattern mining.(2) Study the spatial co-location pattern mining theory, and analysis the way to use the theory.(3)Use the theory, take Kunming as an example, the analysis process including data extraction, pretreatment, written programs, and use the programs to analyze data.The last part of this paper, I summarized the research process and results, and presented inadequate.