DocumentCode :
2002138
Title :
Assessment of urban building layout based on spatial pattern analysis methods
Author :
Tao Yang ; Tang Guoan ; Ge Shanshan ; Zhu ShiJie ; Dai Xiangxi ; Zhu Rui
Author_Institution :
Key Lab. of Virtual Geogr. Environ., Nanjing Normal Univ., Nanjing, China
fYear :
2009
fDate :
12-14 Aug. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Urban surface morphology characteristics mainly expressed by the shape of artificial building entities. Based on DLG data and field surveys, urban building entity model and point model of the vector-based surface model are constructed. In addition, from the view of exploratory spatial data analysis (ESDA) and spatial statistical analysis, a set of analysis and evaluation methods of the characteristics of urban layout are designed. As test areas, urban spatial distribution and pattern of the old city of Nanjing in China are analyzed. Experiment also showed that the surface model of the city based on the vector construction entities can better reflect the main patterns of urban surface characteristics and three-dimensional trend information on the characteristics of obvious benefit to deep analysis.
Keywords :
computational geometry; geographic information systems; town and country planning; artificial building entities; exploratory spatial data analysis; point model; spatial pattern analysis method; spatial statistical analysis; urban building entity model; urban building layout; urban spatial distribution; urban surface morphology characteristics; vector-based surface model; Buildings; Cities and towns; Floors; Human factors; Pattern analysis; Shape; Statistical analysis; Surface morphology; Surface texture; Testing; ESDA; GIS; Spatial Pattern Analysis; Spatial Statistics; Urban Building Entity Models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2009 17th International Conference on
Conference_Location :
Fairfax, VA
Print_ISBN :
978-1-4244-4562-2
Electronic_ISBN :
978-1-4244-4563-9
Type :
conf
DOI :
10.1109/GEOINFORMATICS.2009.5293491
Filename :
5293491
Link To Document :
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