Abstract
At the core of any information retrieval system is its method for ranking results in response to a user's query. Geographic Information Retrieval (GIR) systems have an added complexity for this task since the information to be included in the ranking process goes beyond text and word frequency information to encompass geographic proximity, containment and other spatial operations. The need to combine both geographic and text components into GIR systems has led to some interesting hybrid approaches in addition to the "pure" spatial ranking methods based on spatial similarity. In this short survey I will look at some of the methods that have been reported in the literature and used in GIR evaluations including GeoCLEF and NTCIR GeoTime.
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