• 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