  This paper focuses on the application of Spatial Data mining Techniques to
efficiently manage the challenges faced by peripheral rural areas in analyzing
and predicting market scenario and better manage their economy. Spatial data
mining is the task of unfolding the implicit knowledge hidden in the spatial
databases. The spatial Databases contain both spatial and non-spatial
attributes of the areas under study. Finding implicit regularities, rules or
patterns hidden in spatial databases is an important task, e.g. for
geo-marketing, traffic control or environmental studies. In this paper the
focus is on the effective use of Spatial Data Mining Techniques in the field of
Economic Geography constrained to the rural areas
