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. © 2013 Springer-Verlag.
CITATION STYLE
Tütmez, B., & Kaymak, U. (2013). Regional spatial analysis combining fuzzy clustering and non-parametric correlation. In Advances in Intelligent Systems and Computing (Vol. 190 AISC, pp. 219–227). Springer Verlag. https://doi.org/10.1007/978-3-642-33042-1_24
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