Applying case-based reasoning techniques in GIS

International Journal of Geographical Information Science

Volumn 13, Issue 1, 1999, Pages 9-25

  Holt, A ^a   Benwell, G L ^a  

^a UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0002356998     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/136588199241436     Document Type: Article

References (43)

1. HEWIT, A. E., 1995. Soils of the Conroy Land System, Central Otag, Lincoln:Manaaki Whenua Press. Landcare Research Science Series
2. HOL, A., Incorporating a new computational reasoning approach to spatial modelling. Proceedings of the 1st International Conference on GeoComputation. Vol. 2, pp. 427–442. Leeds:University of Leeds.
3. HOL, A., and BENWEL, G. L. 1996. Case-based reasoning and spatial analysis. Journal of the Urban and Regional Information Systems Association, 8:27–36.
4. IRVI, B. J., VENTUR, S. J., and SLATE, B. K., Landform classification for soil-landscape Studies. Proceedings of the Annual ESRI User Conference. Palm Springs. pp. 153Santa Barbara:University of California.
5. SMIT, I., LOTTA, C., and FALTING, B., 1995. “ Spatial composition using cases IDIOM ”. In Case-Based Reasoning Research and Development, Lecture Notes in Artificial Intelligence ioi, 88–97. Berlin:Springer.
6. HOL, A., and BENWEL, G. L. Case-based reasoning with spatial data. Proceedings of the 2nd New Zealand International Two-stream Conference on Artificial Neural Networks and Expert Systems. Edited by:Kasabo, N. K., and Coghil, G., pp. 385–388. Los Alamitos:IEEE Computer Society Press.
7. HOL, A., and BENWEL, G. L. Spatial reckoning using case-based reasoning. Proceedings of the 8th Australian Joint Artificial Intelligence Conference, Incorporating the Workshop on AI and the Environment. Edited by:McDonal, C. pp. 53–65. Canberra:Australian Defence Force Academy.
8. HOL, A., and BENWEL, G. L. Using spatial similarity for exploratory spatial data analysis:some directions. Proceedings of the 2nd International Conference on Geo Computation, Incorporating the 9th Annual Colloquium of the Spatial Information Research Centre. Edited by:Pasco, R. T., pp. 279–288. Dunedin:University of Otago.
9. ZELEZNIKO, J., A tutorial on merging symbolic reasoning with subsymbolic tasks. Proceedings of the 8th Australian Artificial Intelligence Conference. pp. 1–132. Canberra:Australian Defence Force Academy.
10. JONE, E. K., and ROYDHOUS, A., Spatial representations of meteorological data for intelligent retrieval. Proceedings of the 5th Annual Colloquium of the Spatial Research Centre. Edited by:Benwel, G. L., and Sutherlan, N. C., pp. 45–58. Dunedin:University of Otago.
11. JOS, B., SING, B. P., VENKATARAMA, S, and KRISHNA, R., Vector based image matching for indexing in case-based reasoning systems. Proceedings of the 4th German Workshop on Case-Based Reasoning; System Development and Evaluation. Berlin. pp. 20–22.
12. OPENSHA, S, and ABRAHAR, R. J., Geocomputation. Proceedings of the 1st International Conference on Geo Computation. Vol. 2, pp. 665–666. Leeds:University of Leeds.
13. SCHAN, R., 1982. Dynamic Memory:A Theory of Learning in Computers and Peopl, New York Cambridge:University Press.
14. SLAD, S., 1991. Case-based reasoning a research paradigm. Artificial Intelligence Magazine, 12:42–55.
15. ROBINSO, V. B., FRAN, A. U., and BLAZ, M. A., Expert systems applied to problems in geographic information systems:introduction, review and prospects. Proceedings of GIS'87. pp. 163–173. Bethesda:American Congress on Surveying and Mapping/American Society for Photogrammetry and Remote Sensing.
16. WAN, F., HAL, G. B., and SUBARYON. 1990. Fuzzy information representation and processing in conventional GIS software:database design and application. The International Journal of Geographical Information Systems, 4:261–283.
17. WATSO, I. D., 1994. The case for case-based reasoning Information Technology Awareness in Engineering Conferenc, Manchester:Salford University.
18. WATSO, I. D., 1997. Applying case-based reasoning:techniques for enterprise system, San Francisco:Morgan Kaufmann.
19. ZADE, L. The keynote address. Proceedings of the 2nd New Zealand International Two-stream Conference on Artificial Neural Networks and Expert Systems. Edited by:Kasabo, N. K., and Coghil, G., Los Alamitos:IEEE Computer Society Press.
20. AAMOD, A., and PLAZ, E., 1994. Case-based reasoning foundational issues, methodological variations, and system approaches. Artificial Intelligence Communications, 7:39–59.
21. ALTHOF, K., WES, S., and MANAG, M., Reasoning with Cases-Theory and Practice. Proceedings of the European Conference on Artificial Intelligence. pp. 1–126. Berlin:University of Kaiserlautern.
22. ASPINAL, R., 1992. An inductive modelling procedure based on Baye's theorem for analysis of pattern in spatial data. International Journal of Geographical Information Systems, 6:105–121.
23. BERGE, J., Roentgen:Case-base reasoning and radiation therapy planning. Proceedings of the 16th Annual Symposium on Computer Applications in Medical Care. pp. 123–130. New York:McGraw-Hill.
24. BRANTIN, K. L, and HASTING, J. D., 1994. “ An empirical evaluation of model-based case matching and adaptation ”. In American Association for Artificial Intelligence, Case-based Reasoning Worksho 72–78. Seattle, Washington
25. ABE, D. J., YA, S. K., WALKE, G., CAMERO, M. A., and ACKLAN, R. G. Support in spatial information systems for unstructured problem solving. Proceedings of the International Symposium on Spatial Data Handling. pp. 434–443. Charleston, South Carolina:International Geographical Union Commission on GIS.
26. BORROUG, P. A., and FRAN, A. U., 1995. Concepts and paradigms in spatial information:are current geographic information systems truly generic?. The International Journal of Geographical Information Systems, 9:101–116.
27. BURSTEI, F., and SMIT, H., 1994. Case-based decision making for intelligent decision support, Working Paper Serie, Clayton, Victoria, Australia:Department of Information Systems, Monash University.
28. CRESSI, N, and VER HOE, J. M., 1993. “ Spatial statistical analysis of environmental and ecological data ”. In Environmental modelling with GI, Edited by:Goodchil, M. F., Park, B. O., and Steyar, L. T., New York:Oxford Press.
29. GOE, A., AL, K., DONNELLA, M., GOME, A., and CALLANTIN, T. J., 1994. Multistrategy adaptive navigational path planning. IEEE Expert, 9:57–65.
30. FISCHE, M. M., and NIJKAM, P., 1993. “ Design and use of geographic information systems and spatial models ”. In Geographical Information Systems, Spatial Modelling, and Policy Evaluatio, Edited by:Fische, M. M., and Nijkam, P., 1–13. New York:Springer Verlag.
31. GRIMNE, M., and AAMOD, A., A two layer case-based reasoning architecture for medical image understanding. Proceedings of the 3rd European Workshop on Case-Based Reasoning. pp. 164–178. Berlin:Springer Verlag.
32. KASABO, N, and TRIFONO, R. I., Using hybrid connectionist systems for spatial information processing. Proceedings of the 5th Annual Colloquium of the Spatial Information Research Centre. pp. 85–96. Dunedin:University of Otago.
33. KLEI, G. A., WHITAKE, L. A., and KIN, J. A., Using analogues to predict and plan. Proceedings of the Workshop on Case-Based Reasoning. Edited by:Kolodne, J., pp. 224–232. San Mateo:Morgan Kaufmann.
34. LEKKA, O. P., AVOURI, N. M., and VIRA, L. G., 1994. Case-based reasoning in environmental monitoring applications. Applied Artificial Intelligence An International Journal, 8:359–376.
35. KELLE, S. F., 1994. “ On the use of case-based reasoning in generalizatioa ”. In Proceedings of the 6th International Symposium on Spatial Data Handlin, Advances in GIS Research, I Edited by:C Waug, T., and Heale, R. G., vol. 2, 1118–1132. London:Taylor & Francis.
36. KOLODNE, J., 1993. Case-Based Reasonin, San Mateo:Morgan Kaufmann Publishers.
37. LAURIN, R., and THOMPSO, D., 1992. Fundamentals of Spatial Information System, London:Academic Press.
38. LEAK, D. B., A tutorial on case-base reasoning issues, methods and technology. Proceedings of the 1st International Conference on Case-Based Reasoning. Sesimbra, Portugal. pp. 1–128. Berlin:Springer Verlag.
39. LEE, B. G., and RITMA, K., 1991. Decision-tree and rule induction approach to integration of remotely sensed and GIS data in mapping vegetation in disturbed or hilly environments. Environmental Management, 15:823–831.
40. LEUN, Y., 1993. “ Towards the development of an intelligent spatial decision support system ”. In Geographical Information Systems, Spatial Modelling, and Policy Evaluatio, Edited by:Fische, M. M., and Nijkam, P., 131–145. New York:Springer Verlag.
41. LEUN, Y., and LEUN, K. S. 1993. An intelligent expert system shell for knowledge-based geographical information systems 2. Some applications. International Journal of Geographical Information Systems, 7:201–213.
42. OPENSHA, S., 1993. “ Modelling spatial interaction using a neural net ”. In Geographical Information Systems, Spatial Modelling, and Policy Evaluatio, Edited by:Fische, M. M., and Nijkam, P., 147–164. New York:Springer Verlag.
43. OPENSHA, S., 1993. “ Some suggestions concerning the development of artificial intelligence tools for spatial modelling and analysis in GIS ”. In Geographical Information Systems, Spatial Modelling, and Policy Evaluatio, Edited by:Fische, M. M., and Nijkam, P., 17–33. New York:Springer Verlag.