Uncertainty of spatial information and spatial analysis

Xiaohua Tong, Huan Xie, Shijie Liu, Yanmin Jin, Wenzhong Shi, Jinfeng Wang, Tao Pei, Yong Ge, Changqing Zhu

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

3 Citations (Scopus)


Uncertainty of spatial information and spatial analysis is one of the most essential and fundamental issues in geographical information science, and spatial data quality plays a critical role in geographical applications and decision-making. This chapter adopts a bibliometric quantitative analysis to study the history of international development in this field, to study the state and evolution of hot issues, and to analyse the position of China in this field as well as the contribution of NSFC with respect to gross, process and source. The result shows that the research of Chinese scholars in this field is overall top-ranked worldwide. However, there exists a gap of high-influence achievement in this field between our country and international developed countries. Therefore, further efforts should be made to strength the fundamental researches on uncertainty and trust in spatial information and to associate with the strategic requirements of national development.

Original languageEnglish
Title of host publicationSpringer Geography
Number of pages12
Publication statusPublished - 2017

Publication series

NameSpringer Geography
ISSN (Print)2194-315X
ISSN (Electronic)2194-3168


  • Application of uncertainty analysis in geosciences
  • Error of spatial data
  • Spatial data quality control
  • Trust in spatial data
  • Uncertainty of spatial data

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Urban Studies
  • Nature and Landscape Conservation
  • Earth and Planetary Sciences (miscellaneous)


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