Aggrey Agumya and Gary J. Hunter.
Responding to the Consequences of Uncertainty in Geographical Data.
In International Journal of Geographical Information Science, vol. 16, no. 5, pp. 405--417, 2002.

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Abstract:

The presence of uncertainty in geographical data has the potential to expose users to undesirable consequences in their decision making. Accordingly, our efforts to understand uncertainty seek to (a) avoid the use of data that are not suitable for their intended purpose (that is, data whose consequences are unacceptable), (b) to reduce any undesirable consequences to an acceptable level, and (c) to devise ways of living with undesirable data when the adverse consequences caused by poor data do not alter our ultimate decision choice. To assist this task, we propose an approach where the adverse consequences of uncertainty caused by the use of unsuitable geographical data are expressed in terms of risk. In this paper we first show that risk management offers geographical data users a range of options for responding to the adverse consequences of data uncertainty, and secondly we present and discuss the various risk response options.

Bibtex:

@Article{        agumya:2002:RCUG,
  author = 	 {Aggrey Agumya and Gary J. Hunter},
  title = 	 {Responding to the Consequences of Uncertainty in Geographical Data},
  journal = 	 {International Journal of Geographical Information Science},
  year = 	 {2002},
  volume = 	 {16},
  number = 	 {5},
  pages = 	 {405--417},
}

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References:

Agumya, A., and Hunter, G. J., 1997, Determining fitness for use of geographic information. IT C Journal, vol. 1997-2, pp. 109-113.
Agumya, A., and Hunter, G.J., 1999a, A risk-based approach to assessing the fitness for use of spatial data. URISA Journal, 11, 33-44.
Agumya, A., and Hunter, G. J., 1999b, Translating uncertainty in geographical data into risk in decisions. In Proceedings of the International Symposium on Spatial Data Quality (Hong Kong: Hong Kong Polytechnic University), pp. 574-584.
Athearn, J. L., Pritchett, S. T., and Schmit, J. T., 1989, Risk and Insurance (New York: West Publishing Company).
Bedard, Y., 1987, Uncertainties in land information systems databases. In Proceedings of the ACSM-ASPRS Auto-Carto 8 Conference (Bethesda, MD: American Congress on Surveying and Mapping), pp. 175-184.
Covello, V. T. 1987, Decision analysis and risk management decision making: Issues and methods. Risk Analysis, 7, 131-139.
Dobran, F., 1995, A risk assessment methodology at Vesuvius based on the global volcanic simulation. In Natural Risk and Civil Protection, edited by T. Horlick-Jones, A. Amendola and R. Casale (London: E. & F. N. Spon), pp. 131-136.
Dorfman, M. S. 1991, Introduction to Risk Management and Insurance (Englewood CliVs: Prentice Hall).
Epstein, E. F., Hunter, G. J., and Agumya, A., 1998, Liability insurance and the use of geographical information. International Journal of Geographical Information Science, 12, 203-214.
Foresman, T., Garaza, G., Edwards, D., Kelly, R., Burgeson, Z., and Shalit, H., 1990, GIS insurance: the accuracy question. In Proceedings of the Annual Conference of the Urban and Regional Information Systems Association (URISA), Edmonton, Alberta, 4, 129-142.
Frank, A. U., 1998, Metamodels for data quality description. In Data Quality in Geographic Information: From Error to Uncertainty, edited by M. F. Goodchild and R. Jeansoulin (Paris: Hermes), pp. 15-29.
Gratt, L. B., 1987, Risk analysis or risk assessment: a proposal for consistent de nitions. In Uncertainty in risk Assessment, Risk Management and Decision Making, editors V. T. Covello, L. B. Lave, A. Moghissi and V. R. R. Uppuluri (New York: Plenum Press), pp. 241-249.
Hampton, J. J. 1993, Essentials of Risk Management and Insurance (New York: Amacom).
Hunter, G. J., and Goodchild, M., 1993, Managing uncertainty in spatial databases: putting theory into practice. URISA Journal, 5, 55-62.
Kaplan, S., 1997, The words of risk analysis. Risk Analysis, 17, 407-417.
Kunreuther, H., 1989, The role of actuaries and underwriters in insuring ambiguous risks. Risk Analysis, 9, 319-328.
Laws, D., Gross, M., and Fabos, J., 1989, Information resources and public decision making. In Proceedings of the Annual Conference of the Urban and Regional Information Systems Association (Boston MA: URISA), pp. 160-174.
Lemmens, J. P. M., 1991, GIS: the data problem. In Proceedings of European Conference on Geographical Information Systems, Brussels (Utrecht: EGIS Foundation), pp. 626-635.
Melchers, R. E. 1993, Society, tolerable risk and the ALARP principle. In Proceedings of the Conference on Probabilistic Risk and Hazard Assessment, edited by R. E. Melchers and M. G. Stewart (Rotterdam: A. A. Balkema), pp. 243-252.
Onsrud, H. J., 1999, Liability in the use of GIS and geographical datasets. In Geographical Information Systems, edited by P. A. Longley, M. F. Goodchild, D. J. Maguire and D. W. Rhind (New York: Longman and John Wiley and Sons), pp. 643-652.
Rejda, G. E., 1992, Principles of Risk Management and Insurance (New York: Harper Collins).
Smith, M. L., and Kane, S. A., 1994, The Law of Large Numbers and the strength of insurance. In Insurance, Risk Management, and Public Policy, edited by S. G. Gustavson and S. E. Harrington (Boston: Kluwer Academic Publishers), pp. 1-27.
Standards Australia/Standards New Zealand, 1995, Risk Management, Australian/New Zealand Standard (Homebush, NSW, Wellington, NZ: Standards Australia/Standards New Zealand).
Veregin, H., and Lanter, D. P., 1995, Data quality enhancement techniques in layer-based geographic information systems. Computers, Environment and Urban Systems, 19, 23-36.
Zwart, P., 1991, Some indicators to measure the impact of land information systems in decision making. In Proceedings of the Annual Conference of the Urban and Regional Information Systems Association (URISA), San Francisco, CA (Washington: URISA), 4, pp. 77-89.