• DocumentCode
    2710787
  • Title

    Application of ArcGIS in fractal analysis of rivers

  • Author

    Yue, Wenhui ; Yu, Bailang ; Wu, Jianping

  • Author_Institution
    Key Lab. of Geographic Inf. Sci., East China Normal Univ., Shanghai, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Geographic Information System (GIS) not only has the function of managing geographic information and processing graphics, but also can resolve the problems of complex spatial analysis, spatial simulation and spatial decision-making. Geographic fractal research, whether measuring fractal dimension or simulating fractal structure, is a rule and complicated process. Some popular GIS software has many spatial analysis modules, but lacks the function of spatial fractal analysis. Based on the GIS software, developing spatial fractal analysis module has broad applied prospect and practical value. This article is about researching for method of developing fractal analysis module in ArcGIS software, calculating fractal-dimension by box-counting and processing some elementary researches on fractal characteristic of rivers with this module. This module is developed in ArcGIS 9.3 software by using VBA programming language.
  • Keywords
    Visual BASIC; decision making; fractals; geographic information systems; geophysical techniques; geophysics computing; rivers; ArcGIS 9.3 software; VBA programming language; complex spatial analysis; fractal characteristics; fractal dimension; fractal structure; geographic fractal research; geographic information system; processing graphics; rivers; spatial analysis modules; spatial decision-making; spatial fractal analysis module; spatial simulation; Analytical models; Fractals; Geographic Information Systems; Geography; Presses; Rivers; Software; Fractal; Geographic Information System (GIS); Rivers;
  • 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.2011.5980960
  • Filename
    5980960