• DocumentCode
    2709040
  • Title

    The analysis of the spatial pattern of prehistoric settlement sites based on GIS and spatial data mining

  • Author

    Yan, Lijie ; Shi, Yishao ; Yang, Ruixia ; Lu, Peng ; Zhu, Li ; Fu, Qiang

  • Author_Institution
    Dept. of Surveying & Land Inf. Eng., Tongji Univ., Shanghai, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The spatial pattern of prehistoric settlement sites in Henan Province is researched. By analyzing the relationship between prehistoric settlement sites location and regional altitude, terrain slope, rivers and other geographical environment factors, the laws of the distribution of prehistoric settlement sites are found: more than 70% of settlement sites are located at the altitude of from 50 to 400 meters, more than 60% settlement sites are located in the places where the slopes are less than 3 degree, and more than 60% are located in the distance of less than 4km from the river. Through the analysis of settlement sites distribution patterns by using geography information system(GIS) and spatial data mining, the good technology support is provided for the future settlement archaeology, and the references are provided for researchers to understand prehistoric human selection strategy on the environment and the evolution of settlement systems.
  • Keywords
    data mining; geographic information systems; history; GIS; Henan Province; geographical environment factors; geography information system; prehistoric settlement sites; regional altitude; rivers; spatial data mining; spatial pattern; terrain slope; Cultural differences; Data mining; Geographic Information Systems; Geography; Humans; Rivers; Spatial databases; GIS; settlement archeology; spatial analysis; spatial data mining; spatial pattern;
  • 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.2011.5980858
  • Filename
    5980858