References
- Allen, J.F., 1983. Maintaining Knowledge about Temporal Intervals. Readings in Qualitative Reasoning about Physical Systems, 26 (11), 361–372.
- Burrough, P.A. and Frank, A.U., 1996. Geographic objects with indeterminate boundaries. London: Taylor & Francis Ltd.
- Cao, X., 2012. Research on Earth sphere shell space grid theory and algorithms. Thesis (PhD). Zhengzhou: The PLA Information Engineering University.
- Chang, K.-T., 2014. Introduction to geographic information systems. 7th. New York: McGraw-Hill Higher Education.
- Claramunt, C. and Jiang, B., 2001. An integrated representation of spatial and temporal relationships between evolving regions. Journal of Geographical Systems, 3 (4), 411–428. doi:https://doi.org/10.1007/s101090100066.
- Conceptual, logical and physical data model [online]. Hong Kong, Visual Paradigm. Available from: https://www.visual-paradigm.com/support/documents/vpuserguide/3563/3564/85378_conceptual,l.html [Accessed 20 September 2019]
- Cova, T.J. and Goodchild, M.F., 2002. Extending geographical representation to include fields of spatial objects. International Journal of Geographical Information Science, 16 (6), 509–532. doi:https://doi.org/10.1080/13658810210137040.
- Egenhofer, M.J., et al. 1999. Progress in computational methods for representing geographical concepts. International Journal of Geographical Information Science, 13 (8), 775–796. doi:https://doi.org/10.1080/136588199241012.
- Egenhofer, M.J. and Franzosa, R.D., 1991. Point-set topological spatial relations. International Journal of Geographical Information Systems, 5 (2), 161–174. doi:https://doi.org/10.1080/02693799108927841.
- Fisher, P., et al., 2007. Higher order vagueness in geographical information: empirical geographical population of type n fuzzy sets. GeoInformatica, 11 (3), 311–330.
- Gong, J., 1997. An object-oriented spatio-temporal data model in GIS. Acta Geodaetica et Cartographica Sinica, 26 (4), 289–298.
- Goodchild, M.F., 1992. Geographical data modelling. Computers & Graphics, 18 (4), 401–408.
- Goodchild, M.F., Yuan, M., and Cova, T.J., 2007. Towards a general theory of geographic representation in GIS. International Journal of Geographical Information Science, 21 (3), 239–260. doi:https://doi.org/10.1080/13658810600965271.
- Hong., S., et al., 1997. Definition of spatio-temporal topological relationships and description of temporal topological relationships. Acta Geodaetica et Cartographica Sinica, 26 (4), 299–306.
- Kageyama, A. and Sato, T., 2004. The ‘Yin-Yang Grid’: an overset grid in spherical geometry. Geochemistry, Geophysics, Geosystems, 5 (9). doi:https://doi.org/10.1029/2004GC000734.
- Kang, D., et al., 2017. HTM-ST: A data model supporting spatio-temporal coupled computation for solar-terrestrial system. Journal of Geo-Information Science, 19 (6), 735–743.
- Kjenstad, K., 2006. On the integration of object-based models and field-based models in GIS. International Journal of Geographical Information Science, 20 (5), 491–509. doi:https://doi.org/10.1080/13658810600607329.
- Langran, G., 1992. Time in geographic information systems. London: Taylor & Francis Ltd.
- Liu, Y., et al. 2008. Towards a general field model and its order in GIS. International Journal of Geographical Information Science, 22 (6), 623–643. doi:https://doi.org/10.1080/13658810701587727.
- Mahdavi-Amiri, A., Alderson, T., and Samavati, F., 2015. A survey of digital earth. Computers & Graphics, 53, 95–117. doi:https://doi.org/10.1016/j.cag.2015.08.005
- Peuquet, D.J. and Duan, N., 1995. An event-based spatiotemporal data model (ESTDM) for temporal analysis of geographical data. International Journal of Geographical Information Systems, 9 (1), 7–24. doi:https://doi.org/10.1080/02693799508902022.
- Pilouk, M., Tempfli, K., and Molenaar, M., 1994. A tetrahedron-based 3D vector data model for geoinformation. In: M. Molenaar and S. de Hoop ed. AGDM’94 Spatial data modelling and query languages for 2D and 3D applications, Publ. Geodesy – New Series No. 40. Neth. Geodetic Comm., Delft, 129–140.
- Sahr, K., et al., 2003. Geodesic Discrete Global Grid Systems. Cartography and Geographic Information Science, 30 (2), 121–134.
- Tsai, V.J.D., 1993. Delaunay triangulations in TIN creation: an overview and linear time algorithm. International Journal of Geographical Information Systems, 7 (6), 501–524. doi:https://doi.org/10.1080/02693799308901979.
- Weisstein, E.W. 2004. Domain [online]. Champaign, Wolfram MathWorld. Available from: https://mathworld.wolfram.com/Domain.html [Accessed 20 September 2019]
- Worboys, M.F., 1994. A unified model for spatial and temporal information. Computer Journal, 37 (1), 26–34. doi:https://doi.org/10.1093/comjnl/37.1.26.
- Wu, L. and Yu, J., 2009. Global 3D-grid based on sphere degenerated octree and its distortion features. Geography and Geo-Information Science, 25 (1), 1–4.
- Xie, H., Wu, B., and Zhao, Z., 2013. A novel organization method of massive point cloud. Remote Sensing Information, 28 (6), 26–32.
- Xue, C. and Su, F., 2008. Research on spatio-temporal topologies based on Cartesian operations. Computer Engineering and Applications, 44 (21), 20–24.
- Zhao, X., et al., 2016. Overview of the research progress in the earth tessellation grid. Acta Geodaetica et Cartographica Sinica, 45 (S1), 1–14.