关键词: 时空数据, 冲突判别, Kriging方法, Pettitt检验

Abstract: Aiming at the conflict between single attribute value and spatiotemporal data regularity, the paper constructs a compact peripheral set which is closely related to the discriminated location, and adopts the Kriging method to fuse spatiotemporal data attributes. Thus, the time dimension and space dimension information are deduced to the discriminated location, so that the difference between transformed value and attribute value can be used to measure whether spatiotemporal data violates the regularity of entity objects. For avoiding the one-sidedness of the traditional method of vector space analysis, the paper puts forward a conflict detection method of spatiotemporal data based on the Pettitt test with rank sequences. It provides a solution for the conflict detection of spatiotemporal data in a certain time window. The results show that this algorithm can be applied to describe the degree of difference between the feature value of discriminated location and the estimated value of peripheral locations around the discriminated time. The average detection accuracy is up to 80%, which improves the applicability of the conflict detection algorithm for such spatiotemporal data.

Key words: spatiotemporal data, conflict detection, Kriging method, Pettitt test