Skip to main content
SpringerLink
Log in

LandSpaCES Model (Design Module)

  • Chapter
  • First Online:
The Development of an Integrated Planning and Decision Support System (IPDSS) for Land Consolidation

Part of the book series: Springer Theses ((Springer Theses))

  • 974 Accesses

Abstract

This chapter deals with the development of the Design module of the land redistribution model called LandSpaCES (Land Spatial Consolidation Expert System).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Liou, Y. (1998). Expert system technology: Knowledge acquisition. In J. Liebowitz (Ed.), The handbook of applied expert systems (Vols. 2–1 pp. 2–11). USA: CRC Press.

    Google Scholar 

  2. Breuker, A., Wielinga, J. (1983). Analysis techniques for knowledge based systems. Part 2: Methods for knowledge acquisition, report 1.2, ESPRIT Project 12, University of Amsterdam.

    Google Scholar 

  3. Grover, D. (1983). A pragmatic knowledge acquisition methodology. International Journal on Computing and Artificial Intelligence, 1, 436–438.

    Google Scholar 

  4. Hart, A. (1986). Knowledge acquisition for expert systems. London: Kogan Page.

    Google Scholar 

  5. Kidd, L. (1987). Knowledge acquisition for expert systems: A practical handbook. New York, London: Plenum Press.

    Book  Google Scholar 

  6. Demetriou, D., Stillwell, J., See, L. (2010). LandSpaCES: A design module for land consolidation: Methods and application. Working paper 10/07. School of geography, University of Leeds (p. 77). Available from URL: http://www.geog.leeds.ac.uk/fileadmin/documents/research/csap/10-07.pdf.

  7. Leung, Y., & Leung, K. (1993). An intelligent expert system shell for knowledge-based GIS: 1. The tools. International Journal of Geographical Information Systems, 7(3), 189–199.

    Article  Google Scholar 

  8. Leung, Y., & Leung, K. (1993). An intelligent expert system shell for knowledge-based GIS: 2. Some applications. International Journal of Geographical Information Systems, 7(3), 201–213.

    Article  Google Scholar 

  9. Jin, Z., Sieker, F., Bandermann, S., & Sieker, H. (2006). Development of a GIS-based expert system for on-site storm water management. Water Practice & Technology, 1, 1.

    Google Scholar 

  10. Lukasheh, A., Droste, R., & Warith, M. (2001). Review of ES, GIS, DSS and their applications in landfill design management. Waste Management and Research, 19, 177–185.

    Article  Google Scholar 

  11. Hicks, R. (2007). The no inference engine theory-performing conflict resolution during development. Decision Support Systems, 43(2), 435–444.

    Article  Google Scholar 

  12. Wilson, L. (2007). Rule based programming in C. Dr. Dobb’s Portal: The world of software development. CMP Technology. Available from URL:http://www.drdobbs.com/rule-based-programming-in-c/199702471.

  13. Griffin, N., Lewis, F. (1989). A rule-based inference engine which is optimal and VLSI implementable. In Proceedings of IEEE International Workshop, Tools for Artificial Intelligence: Architectures, Languages and Algorithms (pp. 246–251) IEEE, 23–25 October.

    Google Scholar 

  14. Vlado, V. (2002). Knowledge based GIS for site suitability assessment. ESRI library. Available from URL:http://proceedings.esri.com/library/userconf/proc02/pap1185/p1185.html.

  15. Howard, H. (2003). Development of an expert system for cartographic design education. PhD thesis. Department of Geography, University of Kansas.

    Google Scholar 

  16. Choi, J., & Usery, E. (2004). System integration of GIS and a rule-based expert system for urban mapping. Photogrammetric Engineering and Remote Sensing, 70(2), 217–224.

    Google Scholar 

  17. Geertman S., Stillwell J. (2000). Geoinformation, Geotechnology and Geoplanning in the 1990s. Working paper 00/01. School of Geography, University of Leeds, Leeds. Available from URL:http://eprints.whiterose.ac.uk/5027/1/00-1.pdf.

  18. Choi, J. (2002). A rule-based expert system using an interactive questions-and-answer sequence. Department of Geography, University of Georgia, USA. Available from URL:http://www.ucgis.org/summer2002/choi/choi.html.

  19. Giarrantano, J., & Riley, G. (2005). Expert systems: Principles and programming. Canada: Course Technology.

    Google Scholar 

  20. Cay, T., Ayten, T., Iscan, F. (2006). An investigation of reallocation model based on interview in land consolidation. In Proceedings of the XXIII FIG Congress, Shaping the Change, Munich, Germany, 8–13 October. Available from URL:http://www.fig.net/pub/fig2006/papers/ts89/ts89_02_cay_etal_0429.pdf.

  21. Ayranci, Y. (2007). Re-allocation aspects in land consolidation: A new model and its application. Asian network for scientific information. Journal of Agronomy, 6(2), 270–277.

    Article  Google Scholar 

  22. Demetriou, D., Stillwell, J., See, L. (2011). LandSpaCES: A spatial expert system for land consolidation. In S. Geertman., W. Reinhardt., F. Toppen (Eds.), Advancing geoinformation science for a changing world (pp. 249–274). New York: Springer, Verlag Berlin Heidelberg.

    Google Scholar 

  23. O’Keefe, R., Balci, R., & Smith, E. (1987). Validating expert systems performance. IEEE Expert, 2(4), 81–89.

    Article  Google Scholar 

  24. O’Keefe, R., & O’Leary, D. (1993). Expert System verification and validation: A survey and tutorial. Artificial Intelligence Review, 7(1), 42–73.

    Google Scholar 

  25. Vermesan, A. (1997). Foundation and application of expert system verification and validation. In J. Liebowitz (Ed.), The handbook of applied expert systems (Vol. 5–1 pp. 5–32). MA, USA: CRC Press.

    Google Scholar 

  26. Metaxiotis, K., Askounis, D., & Nikolopoulos, K. (2006). Identifying the characteristics of successful expert systems: An empirical evaluation. International Journal of Information Technology and Management, 5, 21–36.

    Article  Google Scholar 

  27. Balci, O. (1987). Credibility assessment of simulation results: The state of the art. In Proceedings of the Conference on Methodology and Validation. ESC, Orlando, FL, 6–9 April. Available from URL:http://eprints.cs002Evt.edu/archive/00000038/01/TR-86-31.pdf.

  28. Adrion, W., Branstad, M., & Cherniavsky, J. (1982). Validation, verification and testing of software. ACM Computing Surveys, 14(2), 159–192.

    Article  Google Scholar 

  29. Nguyen, T., Perkins, W., Laffery, T., & Pecora, D. (1987). Knowledge base verification. AI Magazine, 8(2), 65–79.

    Google Scholar 

  30. Sojda, R. (2006). Empirical evaluation of decision support systems. Environmental Modelling & Software, 20(2), 269–277.

    Google Scholar 

  31. O’ Leary, D. (1991). Design, development and validation of expert systems: A survey of developers. In M. Ayel., J.-P. Laurent (Eds.), Verification, validation and testing of expert systems (pp. 3–19). New York: John Wiley. Available from URL:https://msbfile03.usc.edu/digitalmeasures/doleary/intellcont/Design-Development-and-Validation-of-Expert-Systems-A-Survey-of-Developers-1.pdf.

Download references

Author information

Authors and Affiliations

  1. School of Geography, University of Leeds, Leeds, UK

    Demetris Demetriou

Authors
  1. Demetris Demetriou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Demetris Demetriou .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Demetriou, D. (2014). LandSpaCES Model (Design Module). In: The Development of an Integrated Planning and Decision Support System (IPDSS) for Land Consolidation. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-02347-2_8

Download citation

Publish with us

Policies and ethics

Search

Navigation