• DocumentCode
    2574495
  • Title

    Design of quick computation program on fractal dimension for 2D vector data

  • Author

    Wang, Qian ; Zhang, Qi-Peng

  • Author_Institution
    Dept. of History & Culture, Gansu Normal Univ. for Nat., Hezuo, China
  • Volume
    2
  • fYear
    2010
  • fDate
    28-31 Aug. 2010
  • Firstpage
    124
  • Lastpage
    126
  • Abstract
    Now the fractal dimension of Land Use Types is often calculated by using raster data as the raw data, but quite a number of spatial data is stored as vector data in fact. If these vector data are converted to images to calculate fractal dimension, perhaps some pixels with inaccurate grey value will result from the “GRID” structure of raster data and accordingly reduce the accuracy of calculation. A quick computation program of the fractal dimension for 2D vector data based on Windows platform has been designed by using Visual Csharp in this paper. The results show that the following advantages of this program have been found: (1) higher calculating precision; (2) superior to SPSS software and Microsoft Office Excel at calculation speed, which is particularly prominent when applied to a batch vector data processed; (3) easily operated, expanded and maintained; (4) easily attaching the calculating results to the attribute table of raw 2D vector data and auto-arrange ascendingly or descendingly the fractal dimension value, which could consumedly improve working efficiency; and (5) able to show the fractal dimension of per polygon by thematic map, which will be useful to study spatial distribution characteristics of geometric objects.
  • Keywords
    batch processing (computers); computational geometry; fractals; grey systems; land use planning; 2D vector data; Microsoft Office Excel; SPSS software; Visual Csharp; Windows platform; computation program design; fractal dimension value; grey value; grid structure; land use types; raster data; spatial data; spatial distribution characteristics; Accuracy; Fractals; Gallium nitride; Pixel; Programming; Software; Visualization; fractal dimension; programming; vector data; visual c#;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-8514-7
  • Type

    conf

  • DOI
    10.1109/IITA-GRS.2010.5602210
  • Filename
    5602210