Analysis of dependence of decision quality on data quality

被引:0
作者
Andrew U. Frank
机构
[1] Technical University Vienna,Institute for Geoinformation and Cartography
来源
Journal of Geographical Systems | 2008年 / 10卷
关键词
Data quality;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:71 / 88
页数:17
相关论文
共 14 条
  • [1] Agumya A(2002)Responding to the consequences of uncertainty in geographical data Int J Geogr Inf Syst 16 405-417
  • [2] Hunter GJ(2001)Assessing fitness for use: the expected value of spatial data sets Int J Geogr Inf Sci 15 457-471
  • [3] de Bruin S(2006)Causes and consequences of error in digital elevation models Prog Phys Geogr 30 467-489
  • [4] Bregt A(2001)Tiers of ontology and consistency constraints in geographic information systems Int J Geogr Inf Sci 75 667-678
  • [5] van de Ven M(2005)Dynamic environmental modelling in GIS: 2. Modelling error propagation Int J Geogr Inf Syst 19 623-637
  • [6] Fisher PF(1989)The U.S. national center for geographic information and analysis: an overview of the agenda for research and education IJGIS 2 117-136
  • [7] Tate NJ(1984)Ecological fallacies and the analysis of areal census data Environ Plan A 16 17-31
  • [8] Frank AU(1984)The modifiable areal unit problem Conc Tech Mod Geogr (CATMOG) 38 40-269
  • [9] Karssenberg D(2000)Safety—a matter of risk, cost, and consensus Struct Eng Int 10 266-352
  • [10] De Jong K(1988)Rainfall-runoff modeling: past, present and future J Hydrol JHYDA7 100 341-undefined