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文章基本信息

  • 标题:Performance of Different Statistical Techniques on Indian Administrative Data by Using GeoDa
  • 本地全文:下载
  • 作者:Prof.Dr.P.K.Srimani ; K.Balaji
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:1
  • 页码:1260
  • DOI:10.15680/IJIRCCE.2017.0501186
  • 出版社:S&S Publications
  • 摘要:This paper deals with the different statistical functionality of Indian administrative data by usingGEODA tool. Spatial mining is an emerging interdisciplinary research area that mainly felicitates to take effectivedecisions with regard to the development of India in the taluk levels. The data comprises 2340 instances and 14attributes. The results provides us with a natural path through an empirical data analysis and geovisualization movingon to exploration, spatial autocorrelation analysis
  • 关键词:Spatial data mining; clustering; geovisualization; spatial autocorrelation; Moran statistics.
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