Urban function district clustering based on GIS and self-organizing feature map network

Yufeng Shi; Yan Wang; Junru Cao

doi:10.1117/12.775338

10 November 2007 Urban function district clustering based on GIS and self-organizing feature map network

Yufeng Shi, Yan Wang, Junru Cao

Proceedings Volume 6795, Second International Conference on Space Information Technology; 67956R (2007) https://doi.org/10.1117/12.775338
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

Abstract

Urban function partitioning is one of the important tasks of urban land utilization and management. The goal of urban function partitioning is to make the urban land form a set of specific function units and regular spatial structures. Spatial clustering is the key process of urban function partitioning. Based on geographical information system (GIS) and the principle of self-organizing feature map network, this paper presents a combined -type of spatial clustering. That is to say, the attribute features and their spatial positions are processed by a unitive spatial clustering model, and then the isolated "islands" or the "holes" of spatial clustering outputs should be smoothed into their neighborhood. This method fully mines the connotative spatial clustering information in spatial attribute data and spatial positions. The experiment shows that the unitive spatial clustering method can provide a sufficient and reliable basis for urban function partitioning.

Citation Download Citation

Yufeng Shi, Yan Wang, and Junru Cao "Urban function district clustering based on GIS and self-organizing feature map network", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67956R (10 November 2007); https://doi.org/10.1117/12.775338

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