Modeling Spatial-temporal Data in Version-difference Model

In this paper, a version-difference spatial-temporal data model is proposed. The main research interest centers on spatial-temporal data storage and manipulation. This model uses the terms version and difference to represent spatial-temporal data at an instance and changes over time. In this model, we introduce a default version which focuses on data currency and always represent the current data state, and then data at any instance can be aggregated or reconstructed by version and difference. This model can reduce data reduction and accelerate data access.