PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
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.
Yufeng Shi,Yan Wang, andJunru 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
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Yufeng Shi, Yan Wang, 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