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Classification and Description of Geographic Information: A Comprehensive Expression Framework

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New Thinking in GIScience

Abstract

Geography is a comprehensive discipline that studies spatial–temporal patterns, evolution processes, and interaction mechanisms of geographic objects and phenomena. With the evolution of the world from a binary space to a ternary space, it is urgent to deepen and expand the understanding, expression, and mining of geographic information. Most current GIS models use the geometry + combination to express geographic information. Geographic processes, including interplay among features, cannot be directly modeled under the above notion. Geography analyzes spatial and temporal structure of macroscopic patterns as a whole and studies evolutionary processes from the perspective of comprehensive integration, and reveals system structures from the perspective of the integrated role of multiple elements. Based on the concept of ternary space, we identify seven dimensions of geographic information elements, which include semantics, spatial location, geometric structure, attribute, interrelationship, evolution process, and interplay mechanism. We also discussed how such representation framework can be employed under a geometric algebra approach to represent geographic scenes and to achieve a unified representation of the seven dimensions.

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References

  • Chen, F. H., Fu, B. J., Xia, J., Wu, D., & Wu, S. H. (2019). Major advances in studies of the physical geography and living environment of China during the past 70 years and future prospects. Science China Earth Sciences, 62, 1665–1701.

    Article  Google Scholar 

  • Guo, R. Z., Chen, Y. B., Ying, S., Lü, G. N., & Li, Z. L. (2018). Geographic visualization of pan-map with the context of ternary spaces. Geomatics and Information Science of Wuhan University, 43(11), 1603–1610.

    Google Scholar 

  • Guo, R. Z., & Ying, S. (2017). The rejuvenation of cartography in ICT era. Acta Geodaetica Et Cartographica Sinica, 46(10), 1274–1283.

    Google Scholar 

  • Lü, G. N., Chen, M., Yuan, L. W., Zhou, L. C., Wen, Y. L., Wu, M. G., Hu, B., Yu, Z. Y., Yue, S. S., & Sheng, Y. H. (2018). Geographic scenario: A possible foundation for further development of virtual geographic environments. International Journal of Digital Earth, 11(4), 356–368.

    Article  Google Scholar 

  • Lü, G. N., Yuan, L. W., & Yu, Z. Y. (2017). Surveying and mapping geographical information from the perspective of geography. Acta Geodaetica Et Cartographica Sinica, 46(10), 1549–1556.

    Google Scholar 

  • Patyk, A. (2010). Geometric Algebra Model of Distributed Representations. In E. Bayro-Corrochano & G. Scheuermann (Eds.), Geometric Algebra computing in engineering and computer science (pp. 401–430). Springer.

    Chapter  Google Scholar 

  • Yu, Z. Y., Luo, W., Hu, Y., Yuan, L. W., Zhu, A. X., & Lü, G. N. (2015). Change detection for 3D vector data: A CGA-based Delaunay–TIN intersection approach. International Journal of Geographical Information Science, 29, 2328–2347.

    Article  Google Scholar 

  • Yu, Z. Y., Wang, J. J., Luo, W., Hu, Y., Yuan, L. W., & Lü, G. N. (2016). A dynamic evacuation simulation framework based on geometric algebra. Computers, Environment and Urban Systems, 59, 208–219.

    Article  Google Scholar 

  • Yuan, L. W., Lü, G. N., Luo, W., Yu, Z. Y., Yi, L., & Sheng, Y. H. (2012). Geometric algebra method for multidimensionally-unified GIS computation. Chinese Science Bulletin, 57(7), 802–811.

    Article  Google Scholar 

  • Yuan, L. W., Yu, Z. Y., & Luo, W. (2019). Towards the next generation GIS: A geometric algebra approach. Annals of GIS, 25(3), 195–206. https://doi.org/10.1080/19475683.2019.1612945

    Article  Google Scholar 

  • Zhou, C. H. (2015). Prospects on pan-spatial information system. Progress in Geography, 34(2), 129–131.

    Google Scholar 

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Correspondence to Guonian Lv .

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Lv, G. et al. (2022). Classification and Description of Geographic Information: A Comprehensive Expression Framework. In: Li, B., Shi, X., Zhu, AX., Wang, C., Lin, H. (eds) New Thinking in GIScience. Springer, Singapore. https://doi.org/10.1007/978-981-19-3816-0_9

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