Base state amendments spatio-temporal data model with dynamic selection of base state

The traditional Base State with Amendments Spatio-temporal data model often select the operation of base state on sequential. The method is relatively easy to implement, but there are obvious deficiencies. This paper introduces the concepts of operation of the base state and Operand, and proposes a base state amendments spatio-temporal data model with dynamic selection of base state. The retrieval time choose the operation of base state which having smaller operand in the adjacent two base states. The problem of selecting a distant base state causing a large number of redundant operations because of using sequential retrieval method can be solved by this approach, thereby enhancing the retrieval efficiency.