Volume XLII-2/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 1363-1366, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-1363-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 1363-1366, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-1363-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  14 Sep 2017

14 Sep 2017

SPATIOTEMPORAL DATA ORGANIZATION AND APPLICATION RESEARCH

C. Tan1 and S. Yan2 C. Tan and S. Yan
  • 1Big Data Innovation Center, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan University, Wuhan, China
  • 2Wuda Geoinformatics Co.,Ltd., Wuhan,China

Keywords: Spatiotemporal Data, Smart City, Information Fusion, Spatiotemporal Data Mining, Spatiotemporal Object

Abstract. Organization and management of spatiotemporal data is a key support technology for intelligence in all fields of the smart city. The construction of a smart city cannot be realized without spatiotemporal data. Oriented to support intelligent applications,this paper proposes an organizational model for spatiotemporal data, and details the construction of a spatiotemporal big data calculation, analysis, and service framework for highly efficient management and intelligent application of spatiotemporal data for the entire data life cycle.