Abstract
Driven by the issue of geo-spatial data mining under grid computing environment, a new representation method called spatial information multi-grid (SIMG) for depicting spatial data and spatial information is presented in this paper. A strategy of dividing the globe with multi-level spatial grid is proposed. And through further studying on the precision of description on feature of detail, this paper tries to divide the globe with SIMG and constructs the framework of SIMG in China. Based on SIMG this paper tries to realize data mining of different thematic information on the same geographical position, data mining of dynamic spatial-temporal information of the same thematic content, data mining and transforming of different coordinate systems and to make SIMG a fundamental research work for further developing spatial information sharing and data mining.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Goodchild, M.F., Yang, S.: A Hierarchical Data Structure for Global Geographic Information Systems. Computer Graphics, Vision and Image Processing 54(1), 31–44 (1992)
Sahr, K., White, D.: Discrete global grid systems. In: Proceedings of the 30th Symposium on the Interface, Computing Science and Statistics, vol. 30, pp. 269–278 (1998)
Ian, F., CarlKesse, L., Steven, T.: The Anatomy of the Grid: Enabling Scalable Virtual Organizations. International Journal Supercomputer Applications 15(3), 200–222 (2001)
Geoffrey, D.: Universal geo-spatial data exchange via global hierarchical coordinates. In: International Conference on Discrete Global Grids, vol. 3, pp. 1–15 (2000)
Denis, W.: Global Grids from Recursive Diamond Subdivisions of the Surface of an Octahedron or Icosahedron. Environmental Monitoring and Assessment 64(1), 93–103 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shao, Z., Li, D. (2005). Spatial Information Multi-grid for Data Mining. In: Li, X., Wang, S., Dong, Z.Y. (eds) Advanced Data Mining and Applications. ADMA 2005. Lecture Notes in Computer Science(), vol 3584. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527503_92
Download citation
DOI: https://doi.org/10.1007/11527503_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27894-8
Online ISBN: 978-3-540-31877-4
eBook Packages: Computer ScienceComputer Science (R0)