• DocumentCode
    2710399
  • Title

    Spatial structure of excellent tourism resources in Suzhou, China: A GIS-based approach

  • Author

    Liu, Fajian ; Zhang, Jie ; Zhang, Honglei ; Chen, Dongdong

  • Author_Institution
    Sch. of Geographic & Oceanogr. Sci., Nanjing Univ., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Scientific analysis of regional tourism resources is an important task of tourism planning. Its spatial distribution has determined the direction of tourism development to a certain extent, thus it is vital to reveal the spatial features of tourism resources by the GIS method, which possesses excellent spatial analysis function. This paper used NNI, mean center, standard distance, and standard deviational ellipse to analysis excellent tourism resources of Suzhou. It comes to the conclusions that :(1) the excellent resources shows clustering pattern totally; (2) Grade 5 human tourism resources exhibited the most clustering in the ancient city of Suzhou, rather than others; (3) this spatial structure both had advantages and disadvantages to Suzhou tourism development. This paper reveals the spatial clustering and spatial distribution of eminent tourism resources in Suzhou, in order to give good advice to the scientific planning and balanced development in future.
  • Keywords
    geographic information systems; human resource management; planning; travel industry; China; GIS-based approach; Suzhou; human tourism resources; pattern clustering; regional tourism resources; scientific analysis; spatial analysis function; spatial distribution; spatial features; spatial structure; tourism development; tourism planning; Cities and towns; Cultural differences; Geographic Information Systems; Humans; Indexes; Planning; Suzhou; clustering analysis; dispersed analysis; spatial structure; tourism resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980935
  • Filename
    5980935