Spatial-temporal difference equations and their application in spatial-temporal data model especially for big data. Issue 1 (1st February 2017)

• Record Type: Journal Article
• Authors: Zhu, Dingju
• Is Part Of: Journal of difference equations and applications. Volume 23:Issue 1/2(2017)
• Page Start: 66
• Page End: 87
• Publication Date: 2017-02-01
• Subjects: Spatial-temporal -- difference equations -- data model -- big data; F1.1 -- F4.3; Difference equations -- Periodicals; 515.625
• DOI: 10.1080/10236198.2016.1167890
• Languages: English
• ISSNs: 1023-6198

Abstract

Abstract : Existing spatial-temporal data models are represented in descriptive language. This paper proposes spatial-temporal difference equations which applies the spatial-temporal features to the difference equations and applies difference equations to the representation of spatial-temporal data model, making the spatial-temporal data model more formal, and finds through comparison that the storage efficiency of spatial-temporal data model based on difference equations is higher than that of the existing spatial-temporal data model. Spatial-temporal difference equations proposed in this paper can represent all types of spatial-temporal data models and store spatial-temporal data with lower storage capacity and space complexity, and thus spatial-temporal difference equations proposed in this paper are a kind of model and method exceedingly beneficial to representation and storage of spatial-temporal data, especially to those of spatial-temporal big data.