Driving Forces for Transformation and Upgrading of Geographic Information Industry

At present, the development of the geographic information industry is facing severe challenges of transformation and upgrading and great development opportunities. The rapid development of emerging information technologies such as "Internet +", big data, cloud computing, and artificial intelligence has provided strong support for the transformation and upgrading of the geographic information industry. In this paper, a series of issues must be seriously considered, such as the background, goal, ways, driving forces of transformation and upgrading. For the background of the transformation and upgrading of the geographic information industry, this paper proposes the space-time view of big data and the theory of space-time big data based on the understanding of the geographic information industry and big data. For the goal of the transformation and upgrading in geographic information industry, the theory of space-time big data platform and the model of "General Space-Time Big Data Platform+" are proposed, which will become a transformation and upgrading version of the geographic information industry. For the ways of the transformation and upgrading of the geographic information industry, the technical system and technical methods for constructing the space-time big data platform are proposed. Beginning with the basic research, the way of the industrialization of space-time big data is discussed, which constructs a space-time big data product system consisting of hardware products, software products, software and hardware integration products and various types of data products. For the driving force of the transformation and upgrading of the geographic information industry, artificial intelligence technology will become the core driving force for the transformation and upgrading of the geographic information industry. The role of algorithms, data and computing power of artificial intelligence in the industrialization of space-time big data and the relationship between the three are also discussed.