• DocumentCode
    1993383
  • Title

    Dynamic land use change in rapidly urbanizing region

  • Author

    Wang, Lu ; Fang, Liting ; Hu, Yueming ; Hu, Xiaofei ; Wu, Lun ; Tian, Yuan

  • Author_Institution
    Coll. of Inf., South China Agric. Univ., Guangzhou, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Land use change (LUC) model is fundamental in decision making process for regional sustainable development. It is practically important to analyze LUC in rapidly urbanizing region, such as Panyu District of Guangzhou, China, where a fast economy development makes it necessary to study the rule of urban land use change. Taking time-spatial land use change as the key point, a case study is carried out to analyze the land use change process, based on the land use data of 1996, 2005, and 2009. The transformation matrix of land use is calculated to show the spatial pattern and reveal the spatial change process of land use between 1996 and 2009. A multi-logistic regression model which takes five dependent factors is adopted to analyze the land use change process and predict the land use change tendency and proven to be feasible and efficient. This study may provide a guide to future research in land use change.
  • Keywords
    decision making; sustainable development; terrain mapping; vegetation mapping; AD 1996; AD 2005; AD 2009; China; Guangzhou; Panyu District; decision making process; economy development; land use change model; land use data; multilogistic regression model; regional sustainable development; spatial change process; spatial pattern; time-spatial land use change; transformation matrix; urban land use change; Biological system modeling; Cities and towns; Construction industry; Equations; Mathematical model; Predictive models; Roads; Panyu District; multi-logistic regression model; urban land use; variation change;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2010 18th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-7301-4
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2010.5567581
  • Filename
    5567581