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CGGC: Category-based General GeoComputation

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  • Corresponding author: yuanlinwang@njnu.edu.cn 
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  • [1] Lü G, Yue S, Yu Z, et al. (2023). Ubiquitous geographic information for building digital twins of geographic environments. The Innovation Geoscience, 1(2): 100023. DOI: 10.59717/j.xinn-geo.2023.100023.

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    [2] Sui D. (2014). Ubiquitous Computing, Spatial Big Data and Open GeoComputation. In: Abrahart R J, See L M, eds. GeoComputation. CRC Press, Boca Raton, 375−390.

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    [3] Frank, A. U. (2006). Practical Geometry: The Mathematics for Geographic Information Systems (unpublished), https://www.researchgate.net/publication/265272329_PRACTICAL_GEOMETRY_THE_MATHEMATICS_FOR_GEOGRAPHIC_INFORMATION_SYSTEMS.

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    [4] Kelly G. M. (1982). Basic Concepts of Enriched Category Theory. Cambridge University Press, 1–136.

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    [5] Yuan L, Yu Z, & Luo W. (2019). Towards the next-generation GIS: a geometric algebra approach. Annals of GIS, 25(3): 195−206. DOI: 10.1080/19475683.2019.1612945.

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  • Cite this article:

    Yuan L., Yu Z., Luo W., et al., (2024). CGGC: Category-based General GeoComputation. The Innovation Geoscience 2(4): 100102. https://doi.org/10.59717/j.xinn-geo.2024.100102
    Yuan L., Yu Z., Luo W., et al., (2024). CGGC: Category-based General GeoComputation. The Innovation Geoscience 2(4): 100102. https://doi.org/10.59717/j.xinn-geo.2024.100102

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