Abstract
The Discrete Global Grid System (DGGS) have characteristics of discrete, hierarchical and global continuity, which not only meets the requirements of data discretization and parallel processing in the era of big data, but also get rid of the shackles of traditional map projection. It also have potential capacity to handle global multi-resolution massive spatial data. Hexagonal Discrete Global Grid has good geometric properties and has become a hot spot in the research and application of DGGS. However, how to establish an efficient coding operation scheme on the sphere is a challenge of the current research and application. According to the structural characteristics of the hexagonal division, this paper constructs the calculations of hierarchical coding, integer coordinate coding and filling curve coding, compares their advantages and disadvantages. The test results show that integer coordinate coding has the highest efficiency in addition operation and adjacent cell search, but it is described on two dimensions, which is not conducive to grid identification and storage In conclusion, operation efficiency of filling curve coding is higher to hierarchical coding, and it is easy to represent and store, which is more suitable for DGGS coding and coding operation.
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Zhao, L., Li, G., Yao, X., Cao, Q., Ma, Y. (2021). Comparison and Analysis of Hexagonal Discrete Global Grid Coding. In: Pan, G., et al. Spatial Data and Intelligence. SpatialDI 2021. Lecture Notes in Computer Science(), vol 12753. Springer, Cham. https://doi.org/10.1007/978-3-030-85462-1_11
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DOI: https://doi.org/10.1007/978-3-030-85462-1_11
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