Constraint Databases and Data Interpolation
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-23519-6_188-2
Reference15 articles.
1. Gao J, Revesz P (2006) Voting prediction using new spatiotemporal interpolation methods. In: Proceedings of the seventh annual international conference on digital government research, San Diego
2. Li J, Narayanan R, Revesz P (2003) A shape-based approach to change detection and information mining in remote sensing. In: Chen CH (ed) Frontiers of remote sensing information processing. WSP, Singapore/River Edge, pp 63–86
3. Li L (2003) Spatiotemporal interpolation methods in GIS. Ph.D thesis, University of Nebraska-Lincoln, Lincoln
4. Li L, Li Y, Piltner R (2004) A new shape function based spatiotemporal interpolation method. In: Proceedings of the first international symposium on constraint databases 2004. Lecture notes in computer science, vol 3074. Springer, Berlin/Heidelberg/New York, pp 25–39
5. Li L, Revesz P (2002) A comparison of spatio-temporal interpolation methods. In: Proceedings of the second international conference on GIScience 2002. Lecture notes in computer science, vol 2478. Springer, Berlin, Heidelberg, New York, pp 145–160
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