Recent years, China’s rapid economic development speeds up the process of urbanization, the most prominent is the rapid expansion of urban land. In this paper, remote sensing, GIS and statistical analysis techniques are used to analyze the dynamic process of land development of Wuhan city from 1995 to 2010, and its causes. Then the effectiveness of the urban master plan of Wuhan city in 1996 is evaluated. Finally, we analyze the possible reasons for the failure of urban planning, which will provide a reference for the future urban planning and management of Wuhan city.
Recently Spatial Data Mining (SDM) has been recognized as a powerful technology that can complement traditional GIS
to facilitate urban planning and management since it can be used to discover interesting, implicit knowledge from spatial
database. DBSCAN spatial clustering algorithm as a SDM method is able to effectively discover clusters of arbitrary
shape in large database with noise points. In this paper we applied this algorithm to detect distribution patterns of urban
public facilities in a developed city, including primary school, high school and commercial facilities. Both qualitative and
quantitative analysis were carried out to investigate how to determine optimal values of input parameters for DBSCAN
algorithm, and the distribution patterns of public facilities were assessed against urban planning design standard using
the algorithm.
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