Regional Spatial Analysis Combining Fuzzy Clustering and Non-parametric Correlation

TÜTMEZ B., Kaymak U.

6th International Conference on Soft Methods in Probability and Statistics, Konstanz, Germany, 4 - 06 October 2012, vol.190, pp.219-221, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 190
  • Doi Number: 10.1007/978-3-642-33042-1_24
  • City: Konstanz
  • Country: Germany
  • Page Numbers: pp.219-221
  • Inonu University Affiliated: Yes

Abstract

In this study, regional analysis based on a limited number of data, which is an important real problem in some disciplines such as geosciences and environmental science, was considered for evaluating spatial data. A combination of fuzzy clustering and non-parametrical statistical analysis is made. In this direction, the partitioning performance of a fuzzy clustering on different types of spatial systems was examined. In this way, a regional projection approach has been constructed. The results show that the combination produces reliable results and also presents possibilities for future works.