Advance and future development of the multi-scale spatial data linkage updating

doi:10.11947/j.AGCS.2022.20220095

Abstract

Abstract: Multi-scale spatial database is an important basis for administrative decision-making and planning at all levels of national economic construction, and also plays a key role in smart city and national defense construction. The current situation of data is related to the operation efficiency of database, and multi-scale spatial data linkage updating provides important technical support.With the development of artificial intelligence, geospatial big data and comprehensive intelligence of maps, many achievements have been made in the linkage updating of spatial data, though it also faces many challenges. Firstly, the research progress of linkage updating is described in terms of updating strategy, matching method, change information detection and updating information transmission of multi-scale spatial data. Secondly, the application of artificial intelligence technology in each stage of the linkage updating process is analyzed. Finally, combining with automatic maps generalization and the background of geospatial big data, the development trend of linkage updating in multi-scale spatial data is discussed.

Key words: multi-scale spatial data, linkage updating, map generalization, updating information detection, matching of spatial data

CLC Number:

P227

ZHANG Xinchang, HE Xianjin, SUN Ying, HUANG Jianfeng, ZHANG Zhiqiang. Advance and future development of the multi-scale spatial data linkage updating[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(7): 1520-1535.

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