Today it is very difficult to evaluate the quality of spatial databases, mainly for the heterogeneity of input data. We define a fuzzy\r\nprocess for evaluating the reliability of a spatial database: the area of study is partitioned in isoreliable zones, defined as homogeneous\r\nzones in terms of data quality and environmental characteristics.We model a spatial database in thematic datasets; each thematic\r\ndataset concerns a specific spatial domain and includes a set of layers. We estimate the reliability of each thematic dataset and\r\ntherefore the overall reliability of the spatial database. We have tested this method on the spatial dataset of the town of Cava de�\r\nTirreni (Italy).
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