Open Access
Issue
ITM Web Conf.
Volume 11, 2017
2017 International Conference on Information Science and Technology (IST 2017)
Article Number 01008
Number of page(s) 8
Section Session I: Computational Intelligence
DOI https://doi.org/10.1051/itmconf/20171101008
Published online 23 May 2017
  1. Lapkin A. Hype Cycle for Big Data[R]. Gartner, Inc.G00235042,2002. [Google Scholar]
  2. Denshampj Goodchild M F. Spatial Decision Sup-port Systems: A Research Agenda [C]/ / Proceedings GIS / LIS 89, Orlando, FL, 1989: 707–716. [Google Scholar]
  3. Sheka R S, Xiong H(Eds). Encyclopedia of GIS[M]. New York: Springer,2007. [Google Scholar]
  4. Miller.H.J,Han.J. Geographic-Data-Mining and Knowledge Discovery[M].2nd edition. London: Taylorand Francis, 2009. [CrossRef] [Google Scholar]
  5. Estem, et.al. Spatial Data Mining: Databases Primitives, algorithms and efficientDBMS support [J].Data-Mining and Knowledge Discovery,2000(4): 193–216. [Google Scholar]
  6. Wu Lun, Liu Yu, Zhang Jin. Geographic Information System Principles and Applications[M]. Beijing Science Press, 2001:184–185. [Google Scholar]
  7. Wu xincai. Geographic Information System[M] Electronic Industry Press,2002.172–173 [Google Scholar]
  8. Wang jichuan, Guo zhigang. The logistic regression model: methods and application.[M] Beijing: Higher Education Press,2001. [Google Scholar]
  9. Bui D T, Lofman O, Revhaug I, et al. Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression[J].Natural Hazards, 2011, 59(3): 1413–1444. [CrossRef] [Google Scholar]
  10. Xie Hualin. Analysis of regionally ecological land useand its influencing factors based on a logistic regressionmodel in the Beijing-Tianjin-Hebei region, China[J].Resources Science, 33(11): 2063–2070. (in Chinese with English abstract) [Google Scholar]

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