Bulletin of Surveying and Mapping ›› 2021, Vol. 0 ›› Issue (5): 1-4.doi: 10.13474/j.cnki.11-2246.2021.0131

    Next Articles

Study on classification of spatio-temporal big data

TIAN Lizheng1,2, LI Chengming2, LIU Xiaoli2, YIN Jie2   

  1. 1. Liaocheng University, Liaocheng 252000, China;
    2. Chinese Academy of Surveying and Mapping, Beijing 100089, China
  • Received:2020-06-30 Revised:2020-08-12 Published:2021-05-28

Abstract: “Unified exercise of the responsibility of the owner of all natural resources assets owned by the whole people, unified exercise of the responsibility of all land and space use control and ecological protection and restoration” is a new demand for the organization and classification of spatio-temporal big data after the establishment of the Ministry of Natural Resources. On the basis of summarizing the evolution characteristics of domestic big data classification system and analyzing the existing problems of China’s current spatio-temporal big data classification system, combined with the demand of the Ministry of natural resources for big data classification, and through historical inheritance, merger and addition, a set of spatio-temporal big data classification system that can serve both the “two unifications” responsibilities of the Ministry of Natural Resources and the whole society is proposed. The classification system of spatio-temporal big data established in this study is a three-level classification with six types, which can be divided into seventeen first-level types, sixty-eight second-level types and twenty-four third-level types. Compared with the previous classification, the most obvious change of this classification is to separate the natural resource data into a large category, which is of great significance for the organization and management of big data.

Key words: spatio-temporal big data, natural resources, classification system, smart city, organization and management

CLC Number: