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Approximation

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Encyclopedia of GIS
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Synonyms

Rough approximation; Rough Set Theory

Definition

Approximations are representations that describe entities in terms of relations to cells in a partition which serves as a frame of reference. Approximations give raise to an indiscernibility relation: In the ‘approximation space’ two entities are indiscernible if and only if they have identical approximations. Approximations are used as tools for the representation of objects with indeterminate boundaries and multi-resolution spatial, temporal, and attribute data.

Example

At every moment in time, your body-axes create a partition of space consisting of the cells front-left (fl), back-left (bl), front-right (fr), and back-right (br) as depicted in Fig. 1. Every object, including your-brother (yb), your-sister1 (ys1), your-sister2 (ys1), and your-house(yh), can be characterized in terms of their relations to the cells of the partition. For example, part-of(ys1,fl), disjoint(ys1,fr), disjoint(ys1,br), disjoint(ys1,bl),...

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  1. Bittner, T.: Approximate qualitative temporal reasoning. Annals of Mathematics and Artificial Intelligence 35(1–2), 39–80 (2002)

    Article  MathSciNet  Google Scholar 

  2. Bittner, T., Stell, J.G.: Approximate qualitative spatial reasoning. Spatial Cognition and Computation 2(4),435–466 (2002)

    Article  Google Scholar 

  3. Bittner, T., Stell, J.G.: Vagueness and rough location. GeoInformatica 6, 99–121 (2002)

    Article  MATH  Google Scholar 

  4. Bittner, T., Stell, J.G.: Stratified rough sets and vagueness. In: Kuhn, W., Worboys, M., Impf, S. (eds.) Spatial Information Theory. Cognitive and Computational Foundations of Geographic Information Science. International Conference COSIT'03, pp. 286–303. Springer, Berlin (2003)

    Google Scholar 

  5. Burrough, P., Frank, A.U. (eds.): Geographic Objects with Indeterminate Boundaries, GISDATA Series II. Taylor and Francis, London (1995)

    Google Scholar 

  6. Cohn, A.G., Gotts, N.M.: The ‘egg-yolk’ representation of regions with indeterminate boundaries. In: Burrough, P.A., Frank, A.U. (eds.) Geographic Objects with Indeterminate Boundaries, GISDATA Series II. pp. 171–187. Taylor and Francis, London (1996)

    Google Scholar 

  7. Duentsch, I., Gediga, G.: Rough set data analysis: A road to non-invasive knowledge discovery. Methodos Publishers, Bangor (2000)

    Google Scholar 

  8. Goodday, J.M., Cohn,A.G.: Conceptual neighborhoods in temporal and spatial reasoning. In: ECAI-94 Spatial and Temporal Reasoning Workshop (1994)

    Google Scholar 

  9. Hobbs, J.: Granularity. In: Proceedings of the IJCAI 85 (1985)

    Google Scholar 

  10. Orłowska, E.(ed.): Incomplete Information – Rough Set Analysis. Studies in Fuzziness and Soft Computing, vol.13 Physica-Verlag, Heidelberg (1998)

    Google Scholar 

  11. Pawlak, Z.: Rough sets. Internat. J. Comput. Inform. 11, 341–356 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  12. Pawlak, Z.: Rough sets: theoretical aspects of reasoning about data. Theory and decision library. Series D, System theory, knowledge engineering, and problem solving, vol. 9. Kluwer Academic Publishers, Dordrecht, Boston (1991)

    Google Scholar 

  13. Pawlak, Z., Grzymala-Busse, J., Slowinski, R., Ziarko, R.A.: Rough sets. Communications of the ACM 38(11), 89–95 (1995)

    Article  Google Scholar 

  14. Polkowski, L., Skowron, A.: Rough mereology: A new paradigm for approximate reasoning. J. Approx. Reason. 15(4),333–365 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  15. Polkowski, L.: A survey of recent results on spatial reasoning via rough inclusions. In: Bolc, L., Michalewicz, Z., Nishida, T. (eds.) Intelligent Media Technology for Communicative Intelligence, Second International Workshop, IMTCI 2004, Lecture Notes in Computer Science, Springer, Berlin (2004)

    Google Scholar 

  16. Randell, D.A., Cui, Z., Cohn, A.G.: A spatial logic based on regions and connection. In: Nebel, B., Rich, C., Swartout, W. (eds.) Principles of Knowledge Representation and Reasoning. Proceedings of the Third International Conference (KR92), pp. 165–176. Morgan Kaufmann (1992)

    Google Scholar 

  17. Slezak, D., Wang, G., Szczuka, M.S., Düntsch, I., Yao, Y. (eds.) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 10th International Conference RSFDGrC 2005 (Part I), Lecture Notes in Computer Science. vol. 3641 Aug 31–Sept 3, Springer, Regina, Canada (2005)

    Google Scholar 

  18. Stell, J.G.: Granularity in change over time. In: Duckham, M., Goodchild, M., Worboys, M. (eds.) Foundations of Geographic Information Science, pp. 95–115. Taylor and Francis (2003)

    Google Scholar 

  19. Stell, J.G.: The representation of discrete multi-resolution spatial knowledge. In: Cohn, A.G., Giunchiglia, F., Selman, B. (eds.) Principles of Knowledge Representation and Reasoning: Proceedings of the Seventh International Conference (KR2000), pp. 38–49. Morgan Kaufmann (2000)

    Google Scholar 

  20. Stell, J.G., Worboys, M.F.: Stratified map spaces: A formal basis for multi-resolution spatial databases. In: Poiker, T.K., Chrisman, N. (eds.) Proceedings 8th International Symposium on Spatial Data Handling SDH'98, pp. 180–189. International Geographical Union (1998)

    Google Scholar 

  21. Worboys, M.F.: Computation with imprecise geospatial data. Computers, Environment and Urban Systems 22, 85–106 (1998)

    Article  Google Scholar 

  22. Worboys, M.F.: Imprecision in finite resolution spatial data. GeoInformatica 2, 257–279 (1998)

    Article  Google Scholar 

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Bittner, T., Stell, J. (2008). Approximation. In: Shekhar, S., Xiong, H. (eds) Encyclopedia of GIS. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35973-1_65

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