Definition
In general, visualization is any technique for creating images, diagrams, or animations in order to present any message. Scientific visualization is an application of computer graphics which is concerned with the presentation of potentially huge quantities of laboratory, simulation, or abstract data to aid cognition, hypotheses building, and reasoning.
In a spatial database system, spatial information is usually stored in the format of raster data or vector data. To visualize raster data, the visualization application has to convert the geographical information associated with each pixel into a specific color and present each pixel individually. To visualize vector data, the visualization application has to identify the geometrical primitives such as points, lines, curves, and polygons, convert the original geospatial coordinate system to screen coordinate system, associate a particular color to each...
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References
Brodsky A, Segal V, Chen J, Exarkhopoulo P (1997) The CCUBE constraint object-oriented database system. Constraints 2(3–4):245–277
Chazelle B, Dobkin D (1979) Decomposing a polygon into its convex parts. In: Proceedings of 11th annual ACM symposium on theory of computing, Atlanta, pp 38–48
Goldin D, Kutlu A, Song M, Yang F (2003) The constraint database framework: lessons learned from CQA/CDB. In: Proceedings of international conference on data engineering, Bangalore, pp 735–737
Grumbach S, Rigaux P, Segoufin L (1998) The {DEDALE} system for complex spatial queries. In: Proceedings of ACM SIGMOD international conference on management of data, Seattle, pp 213–224
Kanellakis PC, Kuper GM, Revesz P (1990) Constraint query languages. In: Proceedings of ACM symposium on principles of database systems, Nashville, pp 299–313
Kanellakis PC, Kuper GM, Revesz P (1995) Constraint query languages. J Comput Syst Sci 51(1):26–52
Keil JM (1985) Decomposing a polygon into simpler components. SIAM J Comput 14(4):799–817
O’Rourke J, Supowit KJ (1983) Some NP-hard polygon decomposition problems. IEEE Trans Inf Theory 29(2):181–190
Revesz P (2002) Introduction to constraint databases. Springer, New York
Revesz P, Li Y (1997) MLPQ: a linear constraint database system with aggregate operators. In: Proceedings of 1st international database engineering and applications symposium. IEEE Press, Washington DC, pp 132–137
Revesz P, Wu S (2004) Visualization of recursively defined concepts. In: Proceedings of the 8th international conference on information visualization. IEEE Press, Washington DC, pp 613–621
Revesz P, Wu S (2006) Spatiotemporal reasoning about epidemiological data. Artif Intell Med 38(2):157–170
Rigaux P, Scholl M, Segoufin L, Grumbach S (2003) Building a constraint-based spatial database system: model, languages, and implementation. Inf Syst 28(6):563–595
Schachter I (1978) Decomposition of polygons into convex sets. IEEE Trans Comput 27(11):1078–1082
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Wu, S. (2014). Constraint Data, Visualizing. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-23519-6_1460-2
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DOI: https://doi.org/10.1007/978-3-319-23519-6_1460-2
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