Share Email Print
cover

Proceedings Paper

Urban function district clustering based on GIS and self-organizing feature map network
Author(s): Yufeng Shi; Yan Wang; Junru Cao
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 10 November 2007
PDF: 6 pages
Proc. SPIE 6795, Second International Conference on Space Information Technology, 67956R (10 November 2007); doi: 10.1117/12.775338
Show Author Affiliations
Yufeng Shi, Shandong Univ. of Technology (China)
Yan Wang, Shandong Univ. of Technology (China)
Junru Cao, Shandong Univ. of Technology (China)


Published in SPIE Proceedings Vol. 6795:
Second International Conference on Space Information Technology

© SPIE. Terms of Use
Back to Top