Abstract
How to integrate and disseminate globally distributed multi-source and heterogeneous spatial information is an open problem in integration and sharing service of geographic information. Here we propose a new service architecture suitable for integration and sharing of distributed multi-source geographic information. We also propose a global virtual pyramid model, which can be applied in 3D virtual globes. In view of the difficulty of web multi-node geographic information sharing service, we propose a web multi-node service aggregation method, integrated in our autonomously developed virtual globe platform Geo-Globe and introduced in the National Platform for Common GeoSpatial Information Services named “TIANDITU”. It achieves 2D and 3D integration for geographic information service.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Craglia M, Bie K, Jackson D, et al. Digital Earth 2020: Towards the vision for the next decade. Int J Digit Earth, 2012, 5: 4–21
Bailey J E, Chen A J. The role of virtual globes in geoscience. Comput Geosci, 2011, 37: 1–2
Sheppard S R J, Cizek P. The ethics of Google Earth: Crossing thresholds from spatial data to landscape visualisation. J Environ Manage, 2009, 90: 2102–2117
Wang H, Zou H, Yue Y, et al. Visualizing hot spot analysis result based on mashup. Proceedings of the 2009 International Workshop on Location Based Social Networks. ACM, Seattle, Washington, 2009. 45–48
Bell D G, Kuehnel F, Maxwell C, et al. NASA world wind: Opensource GIS for mission operations. Aerospace Conference, 2007. 1–9
Goodchild M F. Discrete Global Grids for Digital Earth. International Conference on Discrete Global Grids. California, Santa Barbara. 2000
Fekete G, Treinish L A. Sphere quadtrees: A new data structure to support the visualization of spherically distributed data. SPIE Conference on Extracting Meaning from Complex Data. Processing, Display, Interaction. Santa Barbara, California, USA. 1990
Dutton G. Encoding and handling geospatial data with hierarchical triangular meshes. In: Proceedings of 7th International Symposium on Spatial Data Handling. Delft, 1997. 15–28
Bai J J, Sun W B, Zhao X S. Character analysis and hierarchical partition of WGS-84 ellipsoidal facet based on QTM. Acta Geod Cartogr Sin, 2011, 40: 243–248
White D. Global grids from recursive diamond subdivisions of the surface of an octahedron or icosahedron. Environ Monit Assess, 2000, 64: 93–103
Gregory M J, Kimerling A J, White D, et al. A comparison of intercell metrics on discrete global grid systems. Comput Environ Urban Syst, 2008, 32: 188–203
Ma T, Zhou C H, Xie Y C, et al. A discrete square global grid system based on the parallels plane projection. Int J Geogr Inf Sci, 2009, 23: 1297–1313
Ottoson P, Hauska H. Ellipsoidal quadtrees for indexing of global geographical data. Int J Geogr Inf Sci, 2002, 16: 213–226
Beckers B, Beckers P. A general rule for disk and hemisphere partition into equal-area cells. Comp Geom-Theor Appl, 2012, 45: 275–283
Sahr K, White D, Kimerling A J. Geodesic discrete global grid systems. Cartogr Geogr Inf Sci, 2003, 30: 121–134
Li D R, Xiao Z F, Zhu X Y, et al. Research on grid division and encoding of spatial information multi-grids. Acta Geod Cartogr Sin, 2006, 35: 52–55
Cheng C Q, Zhang E D, Wan Y W, et al. Research on remote sensing image subdivision pyramid. Geogr Geo-Inf Sci, 2010, 26: 19–23
Yang Q H. Principle and Method of the Transformation of Map Projection. Beijing: Publishing House of PLA, 1989
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Rights and permissions
About this article
Cite this article
Chen, J., Xiang, L. & Gong, J. Virtual globe-based integration and sharing service method of GeoSpatial Information. Sci. China Earth Sci. 56, 1780–1790 (2013). https://doi.org/10.1007/s11430-013-4627-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11430-013-4627-0