Abstract
A description and discussion of the basis for coupling knowledge-based systems and Geographic Information Systems is presented using a process-based model of vegetation change as an example. A frame structure is used for the representation of knowledge and attributes of spatial data, including measures of uncertainty in the data and results. In this prototype we include representation of the other expert routines, their goals and pre-requisites, within a frame structure and the KBS has the potential to call on other aspects of knowledge and expertise.
Preview
Unable to display preview. Download preview PDF.
References
Aspinall, R J (1993), Exploratory spatial analysis in GIS: generating geographical hypothesis from spatial data, In: Proceedings of GIS Research UK, University of Keele, Keele.
Baldock, R A, Ireland, J and Towers, S J (1987), SBS User Guide. Medical Research Council and Population Cytogenetics Unit, Edinburgh.
Berry, J K (1991), Treating maps as spatial data and the analytic capabilities of GIS. In: Proceedings of First International Conference/Workshop on Integrating Geographical Information Systems and Environmental Modeling, Boulder, Colorado, September, 1991.
Bill, R (1992), On the acquisition, representation and application of knowledge in geo-information systems. ASPRS, Washington, August 1992.
Buchanan, B G and Shortliffe, E H (1984), Rule-Based Expert Systems, the MYCIN experiments of the standard heuristic programming project, Addison-Wesley, pp. 748.
Clancey, W J (1992), Model construction operators, Artificial Intelligence, Vol. 53 (1), pp. 1–115.
Conway E and Forrest, J D (1956), Chemical treatment of bracken. In: Proceedings of the British Weed Control Conference, Vol. 1, pp. 255–266.
Engel, B A, Beasley, D B and Barrett, J R (1990), Integrating expert systems with conventional problem solving techniques using blackboards. Computers and Electronics in Agriculture, 4, 287–301.
Federal Geographic Data Committee (1992), Information Exchange Forum on Spatial Meta-Data. USGS, Reston, Virginia. pp. 236.
Fedra, K (1991), GIS and environmental modelling, In: Proceedings of First International Conference/Workshop on Integrating Geographical Information Systems and Environmental Modeling, Boulder, Colorado, September, 1991.
Frost, R A (1986), Introduction to Knowledge-Base Systems, Collins, Glasgow, pp 667.
Gallaire, H, Minker, J and Nicolas, J (1984), Logic and databases: a deductive approach, ACM Computing Surveys, Vol. 16 (2), pp 153–185.
Grime, J P, Hodgson, J G and Hunt, R (1988), Comparative Plant Ecology: A Functional Approach to Common British Species. Oxford University Press.
Lanter, D P (1990), Lineage in GIS: The problem and a solution. National Center for Geographical Information and Analysis Technical Paper, 90(6).
Lowell, K, E and Astroth, J, H (1989), Vegetative succession and controlled fire in a glades ecosystem — a geographical information system approach, International Journal of Geographical Information Systems, Vol. 3 (1), pp 69–81.
Lynn Usery, E, Altheide, P, Deister, R R P and Barr, D J (1988), Knowledge-based GIS techniques applied to geological engineering, Photogrammetric Engineering and Remote Sensing, Vol. 54 (11), pp. 1623–1628.
Mackay, D S, Robinson, V B and Band L E (1993), An integrated knowledge-based system for mapping spatio-temporal ecological simulations, AI Applications, Vol 7, No 1, pp 29–36.
Miles, J (1988), Vegetation and soil change in the uplands. In: Ecological change in the uplands, (Ed. M B Usher and D B A Thompson) Special publications series of the British Ecological Society, No. 7, pp. 57–74.
Noble, I R (1987), Expert systems in vegetation science, Vegetatio, Vol. 69 (2), pp. 115–122.
Nyerges, T L (1991), GIS for environmental modellers: an overview. In: Proceedings of First International Conference/Workshop on Integrating Geographical Information Systems and Environmental Modelling, Boulder, Colorado, September, 1991.
Skidmore, A K (1989), An expert system classifies Eucalypt forest types using Thematic Mapper data and a digital terrain model, Photogrammetric Engineering and Remote Sensing, Vol. 55, pp. 1449–1464.
Tansley, A G (1935), The classification of vegetation and the concept of development. Ecology, Vol. 16, pp. 284–307.
Taylor, J A (1986), The bracken problem: a local hazard and global issue. In: Proceedings of Bracken'85, Bracken Ecology, Land Use and Control Technology, (Eds. R T Smith and J A Taylor), Leeds, pp. 21–42.
Tobler, W (1988), Accuracy of Spatial atabases, (Eds. Tomlinson and Mounsey), Taylor and Francis.
Tomlinson, R F (1988), Opening Remarks. In: Building Databases for Global Science, (Eds. H Mounsey and R F Tomlinson), Taylor and Francis, London, pp. 1–9.
Veregin, H (1989), A taxonomy of error in spatial databases, National Center for Geographical Information and Analysis Technical Paper, 89(12), pp. 115.
Watt, A S (1947), Pattern and process in the plant community, Journal of Ecology, Vol. 35, pp. 1–22.
Watt, A S (1976), The ecological status of bracken, Botanical Journal of the Linnean Society, Vol. 73, pp. 217–239.
Yee Leung and Kwong Sak Leung (1993a), An intelligent expert system shell for knowledge-based Geographical Information Systems: 1. The tools, International Journal of Geographical Information Systems, Vol. 7 (3), pp 189–200.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1994 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Miller, D.R. (1994). Knowledge-based systems coupled with geographic information systems. In: Nievergelt, J., Roos, T., Schek, HJ., Widmayer, P. (eds) IGIS '94: Geographic Information Systems. IGIS 1994. Lecture Notes in Computer Science, vol 884. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58795-0_43
Download citation
DOI: https://doi.org/10.1007/3-540-58795-0_43
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-58795-8
Online ISBN: 978-3-540-49105-7
eBook Packages: Springer Book Archive