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Journal of Geographical Systems
Erschienen in: Journal of Geographical Systems 1/2008

01.03.2008 | Original Article

Analysis of dependence of decision quality on data quality

Erschienen in: Journal of Geographical Systems | Ausgabe 1/2008

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Abstract

GIS professionals seem to assume that better data lead to better decisions, but how does one decide when better data lead to a better decision? An analysis to determine the effects of data quality on the quality of decisions provides criteria whether to invest in data quality improvement. This article analyzes data quality and how it influences the quality of a decision. It uses an example of an environmental engineering decision to demonstrate a general method to assess the influence of data quality on the decision. It shows that the uncertainty in aspects, which are poorly known, e.g., the necessary security levels, dominate the uncertainty of many decisions. Efforts to collect more or better data to improve the data quality of those stored in a GIS would not reduce uncertainty in the decision significantly. This result seems to be consistent with results from other studies for this very large class of decisions. The article gives a general method to assess whether collecting better data improves a decision or not.
Vorheriger Artikel Minimizing effects of scale distortion for spatially grouped census data using rough sets
Nächster Artikel A three-dimensional network-based space–time prism

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Literatur
Achatschitz C (2006) Preference based retrieval of information elements. In: 12th International symposium on spatial data handling, Springer, Vienna
Agumya A, Hunter GJ (2002) Responding to the consequences of uncertainty in geographical data. Int J Geogr Inf Syst 16(5):405–417CrossRef
Attaran A (2006) Will negligence law Poison the well of foreign aid? A case comment on: Binod Sutradhar v. natural environment research council. Glob Jurist Adv 6(1, Article 3)
Boin AT, Hunter GJ (2007) What communicates quality to the spatial data consumer? In: Proceedings of the 7th international symposium on spatial data quality (ISSDQ 2007), Enschede, The Netherlands
de Bruin S, Bregt A, van de Ven M (2001) Assessing fitness for use: the expected value of spatial data sets. Int J Geogr Inf Sci 15(5):457–471CrossRef
Feynman R (1998) The character of physical law. The MIT Press, Cambridge
Fisher PF, Tate NJ (2006) Causes and consequences of error in digital elevation models. Prog Phys Geogr 30:467–489CrossRef
Frank AU (2001) Tiers of ontology and consistency constraints in geographic information systems. Int J Geogr Inf Sci 75(5):667–678 (Special Issue on Ontology of Geographic Information)CrossRef
Frank AU (2003) Ontology for spatio-temporal databases. In: Koubarakis M, Sellis T (eds) Spatiotemporal databases: the chorochronos approach, vol 2520. Springer, Berlin, pp 9–78
Frank AU (2007a) Assessing the quality of data with a decision model. In: 5th International syposium on spatial data quality 2007, Enschede, NL
Frank AU (2007b) Data quality ontology: an ontology for imperfect knowledge. In: Winter S, Duckham M, Kulik L, Kuipers B (eds) Spatial information thoery (COSIT 2007). Springer, Berlin
Frank AU (2007c) Incompleteness, error, approximation, and uncertainty: an ontological approach to data quality. Geographic Uncertainty in Environmental Security. NATO Advanced Research Workshop, Kiev, Ukraine, Springer
Frank AU, Grum E (eds) (2004) Proceedings of the ISSDQ ‘04. Geoinfo series. Institute for Geoinformation, Vienna
Frank AU, Mark DM (eds) (1991) Cognitive and linguistic aspects of geographic space. NATO ASI series D. Kluwer Academic Publishers, Dordrecht, The Netherlands
Frank AU, Palmer B, Robinson V (1986) Formal methods for accurate definition of some fundamental terms in physical geography. In: 2nd International symposium on spatial data handling, Seattle, Wash
Goodchild M (2006) Preface. In: ISTE 2006
Goodchild M, Jeansoulin R (eds) (1998) Data quality in geographic information—from error to uncertainty. Hermes, Paris
Goodchild MF, Gopal S (eds) (1989) The accuracy of spatial databases. Taylor & Francis, Basingstoke
Haupt R (2000) Regionalisierung von Hochwasserkennwerten in Mecklenburg-Vorpommern. Universität Rostock, Rostock
Heuvelink GBM (1998a) Error propagation in environmental modelling with GIS. Taylor & Francis, London
Heuvelink GBM, Burrough PA, Stein A (2006) Developments in analysis of spatial uncertainty since 1989. Classics from IJGIS: 20 years of the international journal of geographical information science and systems. P. F. Fisher. CRC, Boca Raton, pp 91–95
Karssenberg D, De Jong K (2005) Dynamic environmental modelling in GIS: 2. Modelling error propagation. Int J Geogr Inf Syst 19(6):623–637CrossRef
Lehmann J, Breucker J, Brouwer B (2006) Causation in AI and law. ICAIL 2003 workshop on legal ontologies and web based legal information management, University of Amsterdam, Faculty of Law, p 34
Lords Ho (2006) Binod Sutradhar v. Natural Environment Research Council. House of lords session 2005–2006; EWCA Civ 175; UKHL 33. London, UK, House of Lords, p 21
McCuen RH (1989) Hydrologic analysis and design. Prentice-Hall, Englewood Cliffs
NCGIA (1989) The U.S. national center for geographic information and analysis: an overview of the agenda for research and education. IJGIS 2(3):117–136
Openshaw S (1984a) Ecological fallacies and the analysis of areal census data. Environ Plan A 16(1):17–31CrossRef
Openshaw S (1984b) The modifiable areal unit problem. Conc Tech Mod Geogr (CATMOG) 38:40
Openshaw S, Charlton M, Carver S (1991) Error propagation: a Monte Carlo simulation. In: Masser I, Blakemore M (eds) Handling geographical information, vol 1. Longman Scientific & Technical, Essex, pp 78–101
Purvis JC, Tyler W, Sidlow S (1988) Maximum rainfall intensity in south Carolina by county. State Climatology Office, South Carolina
Schneider J (1999) Zur Dominanz der Lastannahmen im Sicherheitsnachweis. Festschrift zum 60. Geburtstag von Eduardo Anderheggen, Institut für Baustatik und Konstruktion der ETH Zürich
Schneider J (2000) Safety—a matter of risk, cost, and consensus. Struct Eng Int 10(4):266–269CrossRef
Shi W, Fisher PF, Goodchild MF (2002) Spatial data quality. Taylor & Francis, London
Shi W, Goodchild MF, Fisher PF (eds) (2003) In: Proceedings of the 2nd international symposium on spatial data quality ‘03. Hong Kong Polytechnic University, Hong Kong
Todini E (1988) Rainfall-runoff modeling: past, present and future. J Hydrol JHYDA7 100(1/3):341–352CrossRef
Wu L, Shi W, Fang Y, Tong Q (eds) (2005) In: Proceedings of the 4th international symposium on spatial data quality (ISSDQ 05). Peking University, Beijing
Metadaten
Titel
Analysis of dependence of decision quality on data quality
Publikationsdatum
01.03.2008
Erschienen in
Journal of Geographical Systems / Ausgabe 1/2008
Print ISSN: 1435-5930
Elektronische ISSN: 1435-5949
DOI
https://doi.org/10.1007/s10109-008-0059-3

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