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Abstrakty
The development of information technologies, widespread access to the Internet, globalisation and the development of measurement technologies in geodesy, on the one hand, result in wide access to geographical, cartographic or geodetic data, and on the other hand, increase the level of risk of losing basic security attributes of these data. Risk management in GIS should be implemented at every stage of the GIS life cycle, which starts with the organising phase of a GIS and is expected to continue until the end of its life - decommissioning. It is important to remember that it is not enough to have a good analysis and assessment of adverse events and their consequences without precise, pre-developed methods of measuring and responding to risks in the form of various response plans. This article is an attempt to answer the questions: what should be understood by risk in GIS systems, how to measure it and how to proceed to manage it effectively and efficiently. The models and instruments presented, which have been developed on the basis of available literature and own research, point the way to effective risk management in GIS class systems.
Czasopismo
Rocznik
Tom
Strony
39--56
Opis fizyczny
Bibliogr. 16 poz.
Twórcy
autor
- Military University of Technology, Faculty of Cybernetics, Institute of Computer and Information Systems, Warsaw, Poland
autor
- Military University of Technology, Faculty of Cybernetics, Institute of Computer and Information Systems, Warsaw, Poland
Bibliografia
- 1. Aranoff S. (1989). Geographic Information Systems: A Management Perspective, WDL Publications, Ottawa.
- 2. Bhattacharya J. (2015). Quality Risk Management - Understanding and control the risk in pharmaceutical manufacturing industry, International Journal of Pharmaceutical Science Invention, vol. 4 (1), pp. 29-4.
- 3. Escanciano J.C., Olmo J. (2007). Estimation Risk Effects on Backtesting for Parametric Value-at-Risk Models, Working Paper, http://papers.ssrn.com/sol3/papers.
- 4. Gregoriou G.N., Hoppe C.H, Wehn C.S. (2010). The Risk Modeling Evaluation Handbook: Rethinking Financial Risk Management Methodologies in the Global Capital Markets, McGraw-Hill, New York.
- 5. He X., Gong P. (2009). Measuring the coupled risk: A copula-based CVaR model, Journal of Computational and Applied Mathematics, vol. 223, pp. 1066-1080.
- 6. IEC/ISO 31010: 2009. Risk management - Risk assessment techniques, Geneva, ISO.
- 7. Jajuga K., Kuziak K. (2006). Model Risk Measurement - General Concept and Particular Models. In: Mathematical, Econometrical and Computational Methods in Finance and Insurance, ed. P. Chrzan, Wydawnictwo AE w Katowicach, Katowice, pp. 107-116.
- 8. Kole E., Koedijk K., Verbeek M. (2007). Selecting copula for risk management, Journal of Banking & Finance, vol. 31, pp. 2405-2423.
- 9. Landquist H., Hassellöv I.-M., Rosén L., Lindgren J.F., Dahllöf, I. (2013). Evaluating the needs of risk assessment methods of potentially polluting shipwrecks. Journal of Environmental Management, vol. 119, pp. 85-92.
- 10. Neves A.A.S., Pinardi N., Martins F., Janeiro J., Samaras A., Zodiatis G., De Dominicis M. (2015). Towards a common oil spill risk assessment framework - Adapting ISO 31000 and addressing uncertaintie.
- 11. Peggion M., Bernardini A., Masera M. (2008). Geographic information systems and risk assessment. Luxembourg: Office for Official Publications of the European Communities.
- 12. Sienkiewicz P. (2005). Teoria inżynierii bezpieczeństwa systemów, Monografia nr 3 (Systems security engineering theory, Monograph No. 3), Kraków, AGH.
- 13. Sienkiewicz P. (2013). Teoria efektywności systemów (Systems efficiency theory). Ossolineum, Wrocław.
- 14. Stanik J., Kiedrowicz M., Waszkowski R. (2018). Security and Risk as a Primary Feature of the Production Process, ISPEM 2018 (The Second International Conference on Intelligent Systems in Production Engineering and Maintenance).
- 15. Stanik J. (2019). The risk model of an it system that processes Spatial data in SIP/GIS. 26th Geographic Information Systems Conference and Exhibition GIS ODYSSEY 2019.
- 16. Wróblewski D. (ed.) (2015). Zarządzanie ryzykiem - przegląd wybranych metodyk (Risk management - review of selected methodologies), Józefów, Wydawnictwo CNBOP- PIB.
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
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