• DocumentCode
    3191368
  • Title

    Study on Population Distribution Characteristics and Pattern in Mountainous Region

  • Author

    Guozhu, Li ; Niu Shuwen ; Zhengguang, Liu ; Xiaodong, Guo

  • Author_Institution
    Lanzhou Univ., Lanzhou
  • fYear
    2007
  • fDate
    14-16 June 2007
  • Firstpage
    704
  • Lastpage
    707
  • Abstract
    Population distribution is provided with obvious dispersion and diversity speciality in hill and mountainous region there agriculture production is dominant. Analyzing population distribution on hamlet scale approaches fact much more. Improvements in remote sensing (RS) technologies and the use of geographic information system (GIS) are increasingly allowing us to probe into population distribution at multiple scales. This paper researches population distribution characteristics and regulations in hill and mountainous region based on village scale using GIS and RS, to take Tianshui district as an example. Tianshui is located to the transition region from Qinling mountain to loess hill, when distinguishing scale reduces from all territory, county, township to village, the disproportion phenomena that population distribution is sparse or dense in space stands out more and more, cv. expands rapidly. In 7915 spots being composed of towns, villages and settlements, less spots with 1.0-10 hm2 acreage account for 84.7%, this indicates dispersive and small scale villages are still primary form of population distribution. The relationships among population density and land-use proportion of villages, spot number on unit acreage and spot size are analyzed by non-linearity function, some characteristics and pattern in population distribution may be revealed well. Population distribution of Tianshui represent obviously three categories: river valley area with high density, hilly area with medium density and mountainous area with low density, labour radii and distance among villages exist huge difference in three categories.
  • Keywords
    geographic information systems; remote sensing; statistical distributions; Qinling mountain; Tianshui district; agriculture production; disproportion phenomena; geographic information system; hamlet scale; hilly area; land-use proportion; mountainous area; mountainous region; nonlinearity function; population density; population distribution characteristics; remote sensing technologies; river valley area; spot size; unit acreage; village scale; Agriculture; Cities and towns; Dispersion; Extraterrestrial phenomena; Geographic Information Systems; Pattern analysis; Probes; Production; Remote sensing; Rivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Space Technologies, 2007. RAST '07. 3rd International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    1-4244-1057-6
  • Electronic_ISBN
    1-4244-1057-6
  • Type

    conf

  • DOI
    10.1109/RAST.2007.4284084
  • Filename
    4284084