10. The system according to claim 9 , wherein the concept classification of the task-relevant spatial objects represents a membership relationship between the task-relevant spatial objects and a general class of the task-relevant spatial objects, the task-relevant spatial objects being specific objects belonging to the general class, the general class being an abstraction of the task-relevant spatial objects.
9. A system for mining a rule including spatial information and non-spatial information by using a SAR (Spatial Association Rule) mining tool, the system comprising: a computing system including at least one memory device and at least one processor connected to the memory device, wherein the computing system is configured to: construct an expanded spatial predicate transaction table for reference spatial objects and a generalized taxonomy for task-relevant spatial objects, the expanded spatial predicate transaction table including both spatial predicates of the reference spatial objects and non-spatial information associated with the reference spatial objects, the generalized taxonomy including: non-spatial information associated with the task-relevant spatial objects, a concept classification of the task-relevant spatial objects, and a mapping between the task-relevant spatial objects and non-spatial attributes representing the non-spatial information associated with the task-relevant spatial objects, the construct the generalized taxonomy including: create or read a table that that corresponds the task-relevant spatial objects to the non-spatial attributes associated with the task-relevant objects, the table further including values of the non-spatial attributes of the corresponding task-relevant spatial objects; and create the concept classification of the task-relevant spatial objects as a data structure, the create the concept classification including: create at least one concept node from the table, a concept node representing a combination of a non-spatial attribute and a corresponding value; create at least one object node that corresponds to the task-relevant spatial objects; and connect the at least one concept node to the at least one object node by making a concept node a parent node of an object node; run the SAR mining tool with the constructed expanded spatial predicate transaction table and the generalized taxonomy; generate, by the SAR mining tool, one or more generalized spatial association rules for the reference spatial objects, the one or more generalized spatial association rules having a support value above a first threshold, the one or more generalized spatial association rules having a confidence value above a second threshold, the support value indicating a percentage of occurrences of the individual reference spatial objects, the confidence value indicating a minimum percentage of transactions that involve the individual reference spatial objects, the one or more generalized spatial association rules including the spatial information and non-spatial information, associated with both the reference spatial objects and the task-relevant spatial objects.