Abstract
Land fragmentation is a major issue in many rural areas around the world, preventing rational agricultural production and sustainable rural development. Traditionally, land consolidation has been the primary land management approach for solving this problem. Land reallocation is recognised as the most important, complex, and time-consuming process of land consolidation. It is split into two components: land redistribution and land partitioning. In this paper, we outline a land redistribution model called LandSpaCES (Land Spatial Consolidation Expert System) which is the central module of LACONISS, a LAnd CONsolidation Integrated Support System for planning and decision making. LandSpaCES integrates GIS with an expert system (ES) and is able to generate alternative land redistributions under different scenarios. Two key system concepts are utilised: ‘No-Inference Engine Theory (NIET),’ which differentiates Land- SpaCES from conventional ES development and a parcel priority index (PPI), which constitutes the basic measure that defines the redistribution of land in terms of location. The module has been applied to a case study area in Cyprus and the results compare very favourably against an independent solution derived previously by human experts.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-642-19789-5_27
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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.
Burrough, P. A. (1986) Principles of Geographical Information Systems for Land Resources Assessment. Oxford University Press.
Cay, T. and Iscan, F. (2006) Optimisation in land consolidation. Shaping the change. XXIII FIG Congress, Munich, Germany, October 8-13.
Choi, J. and 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.
Demetriou, D., Stillwell, J. and See, L. (2010a) Land consolidation in Cyprus: Why is an integrated planning and decision support system required? Land Use Policy submitted.
Demetriou, D., Stillwell, J. and See, L. (2010b) A framework for developing an integrated planning and decision support system for land consolidation? Environment and Planning B: Planning and Design submitted.
Demetriou, D., Stillwell, J. and See, L. (2010c) LandSpacES: A design module for land consolidation: Methods and application. Working Paper 10/08. School of Geography, University of Leeds, Leeds. http://www.geog.leeds.ac.uk/research/wpapers.
Filis, I., Sabrakos, M., Yialouris, C., Sideris, A. and Mahaman, B. (2003) GEDAS: an integrated geographical expert database system, Expert Systems with Applications 24 25-34.
Fischer, M.M. (1994) From conventional to knowledge-based geographic information systems. Computers, Environment and Urban Systems, 18(4), 233-4.
Giarratano, J. and Riley, G. (2005) Expert Systems: Principles and Programming. Course Technology. Canada.
Griffin, N., Lewis, F., 1989. A rule-based inference engine which is optimal and VLSI implementable. Tools for Artificial Intelligence. Architectures, Languages and Algorithms. IEEE International Workshop, 23-25 Oct, pp 246 – 251
Heywood, I., Cornelius, S. and Carver, S., (2002) An Introduction to Geographical Information Systems. 2nd ed., Pearson Education Limited, Harlow.
Hicks, R., (2007) The no inference engine theory-Performing conflict resolution during development. Decision Support Systems, 43(2), 435-444. http://www.sli.unimelb.edu.au/fig7/Brighton98/Comm7Papers/TS30- Rosman.html
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.
Jun, C. (2000) Design of an intelligent Geographical Information System for multi-criteria site analysis. URISA Journal, 12(3), 5-17.
Kalogirou, S. (2002) Expert systems and GIS: an application of land suitability evaluation. Computers, Environment and Urban Systems, 26, 89-112.
Land Consolidation Department (LCD), (2010) Annual Report (2009) for land consolidation. Nicosia, Cyprus.
Land Consolidation Department (LCD), (1993) Land Consolidation in Cyprus. Ministry of Agriculture and Natural Resources of Cyprus Nicosia.
Liou, Y. (1998) Expert system technology: knowledge acquisition. In: Liebowitz, J., (eds.) 1998. The Handbook of Applied Expert Systems. CRC Press, MA, USA, 2-1 - 2-11.
Lukasheh, A., Droste, R. and Warith, M. (2001) Review of ES, GIS, DSS and their applications in landfill design management. Waste Management and Research, 19, 177-185.
McCarthy, J., Graniero, P. and Rozic, S. (2008) An integrated GIS-Expert System framework for live hazard monitoring and detection. Sensors, 8(2), 830-846.
Negnevitsky, M. (2002) Artificial Intelligence: A Guide to Intelligent Systems. Second edition. Addison Wesley, Essex.
O’ Keefe, M., Balci, O. and Smith, E. (1987) Validating expert system performance. IEEE Expert, 2(4), 81-89.
Openshaw, S. and Openshaw, C. (1997) Artificial Intelligence in Geography. Wiley, West Sussex, pp 329.
Padhy, N. (2005) Artificial Intelligence and Intelligent Systems. Oxford University Press, New Delhi.
Simon, H. (1960) The New Science of Management Decision. Harper & Row, New York.
Sojda, R. (2006) Empirical evaluation of decision support systems. Environmental Modelling & Software, 20(2), 269-277.
Sonnenberg, J. (1998) New method for the design of the reallocation plan in land consolidation projects. FIG conference.
Thomas, J. (2006) What’s on regarding land consolidation in Europe? Proceedings of the XXIII International FIG Congress, Munich, Germany, October 8-13.
Van Dijk, T. (2003) Dealing with Central European Land Fragmentation. Eburon, Delft.
Yeh, A. and Qiao, J. (2004) Component based approach in the development of a knowledge based planning support system (KBPSS). Part 1: the architecture of the KBPSS. Environmental and Planning B: Planning and Design, 31, 517-537.
Zhu, X. and Healey, R. (1992) Towards intelligent spatial decision support: integrating geographical information systems and expert systems. Proceedings of GIS/LIS ’92.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Demetriou, D., Stillwell, J., Seel, L. (2011). LandSpaCES: A Spatial Expert System for Land Consolidation. In: Geertman, S., Reinhardt, W., Toppen, F. (eds) Advancing Geoinformation Science for a Changing World. Lecture Notes in Geoinformation and Cartography(), vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19789-5_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-19789-5_13
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19788-8
Online ISBN: 978-3-642-19789-5
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)