  Spatial outliers are used to discover inconsistent objects producing
implicit, hidden, and interesting knowledge, which has an effective role in
decision-making process. In this paper, we propose a model to redefine the
spatial neighborhood relationship by considering weights of the most effective
parameters of neighboring objects in a given spatial data set. The spatial
parameters, which are taken into our consideration, are distance, cost, and
number of direct connections between neighboring objects. This model is
adaptable to be applied on polygonal objects. The proposed model is applied to
a GIS system supporting literacy project in Fayoum governorate.
