Tutmez, BulentKaymak, Uzay2024-08-042024-08-042013978-3-642-33041-42194-53572194-5365https://hdl.handle.net/11616/958816th International Conference on Soft Methods in Probability and Statistics -- OCT 04-06, 2012 -- Konstanz, GERMANYIn 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.eninfo:eu-repo/semantics/closedAccessFuzzy clusteringrank correlationspatial dataConference Object190219+2-s2.0-84870752715N/AWOS:000312969600024N/A