The Data Uncertainty Engine (DUE): A software tool for assessing and simulating uncertain environmental variables

Computers and Geosciences

Volumn 33, Issue 2, 2007, Pages 172-190

  Brown, James D ^a   Heuvelink, Gerard B M ^b  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Java; Monte Carlo; Uncertainty analysis; Uncertainty propagation

Indexed keywords

COMPUTER AIDED SOFTWARE ENGINEERING; COMPUTER SIMULATION; CORRELATION METHODS; MATHEMATICAL MODELS; MONTE CARLO METHODS; PROBABILITY;

DATA UNCERTAINTY ENGINE (DUE); ENVIRONMENTAL DATA; UNCERTAINTY ANALYSIS;

ENVIRONMENTAL ENGINEERING;

COMPUTER AIDED SOFTWARE ENGINEERING; COMPUTER SIMULATION; CORRELATION METHODS; ENVIRONMENTAL ENGINEERING; MATHEMATICAL MODELS; MONTE CARLO METHODS; PROBABILITY;

AUTOCORRELATION; COMPUTER SIMULATION; CONCEPTUAL FRAMEWORK; DATABASE; MONTE CARLO ANALYSIS; NUMERICAL METHOD; SOFTWARE; SPATIAL DATA; SPATIOTEMPORAL ANALYSIS; UNCERTAINTY ANALYSIS;

AVES;

EID: 33845570615     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2006.06.015     Document Type: Article

References (52)

1. Ahrens J.H., and Dieter U. Generating gamma variates by a modified rejection technique. Communications of the ACM 25 (1982) 47-54
2. Ahrens J.H., and Dieter U. Computer methods for sampling from gamma, beta Poisson and binomial distributions. Computing 12 (1974) 223-246
3. Ayyub B.M. Elicitation of Expert Opinions for Uncertainty and Risks (2001), CRS Press, FL 328pp
4. Bernado J.M., and Smith A.F.M. Bayesian Theory (2001), Wiley, Chichester 608pp
5. Beven K., and Binley A. The future of distributed models: model calibration and uncertainty prediction. Hydrological Processes 6 (1992) 279-298
6. Bierkens M.F.P., Finke P.A., and De Willigen P. Upscaling and Downscaling Methods for Environmental Research (2000), Kluwer, Dordrecht
7. Biza, P., Gimun, V., 2000. Use of the Mike-11 flood model of the Morava River, Czech Republic, to evaluate various flood measure proposals. In: Proceedings of the Fourth International Conference on Hydroinformatics, 23-27th July 2004, Iowa, USA.
8. Brun R., Reichert P., and Kunsch H.R. Practical identifiability analysis of large environmental simulation models. Water Resources Research 37 (2001) 1015-1030
9. Caers J. Petroleum Geostatistics. SPE Interdisciplinary Primer Series. Society of Petroleum Engineers (2005), Richardson, TX 96pp
10. Cai Y., and Kendall W.S. Perfect simulation for correlated Poisson random variables conditioned to be positive. Statistics and Computing 12 (2002) 229-243
11. Chow V.T., Maidment D.R., and Mays L.W. Applied Hydrology (1988), McGraw-Hill, Inc., New York 572pp
12. Cressie N. Statistics for Spatial Data (1992), Wiley, New York 928pp
13. Delores E.M., Kuncicky D.C., and Moore H. Introduction to MATLAB 7 (2005), Prentice-Hall, Englewood 304pp
14. Dubus I.G., Brown C.D., and Beulke S. Sources of uncertainty in pesticide fate modelling. The Science of the Total Environment 317 (2003) 53-72
15. Flanagan D. Java in a Nutshell. fifth ed (2005), O'Reilly and Associates, North Sebastopol, CA 1252pp
16. Funtowicz S.O., and Ravetz J.R. Uncertainty and Quality in Science for Policy (1990), Kluwer, Dordrecht 232pp
17. Gabrosek J., and Cressie N. The effects on attribute prediction of location uncertainty in spatial data. Geographical Analysis 34 (2002) 262-285
18. Goodchild M.F. A general framework for error analysis in measurement-based GIS. Journal of Geographical Information Systems 6 (2004) 323-324
19. Goovaerts P. Geostatistics for Natural Resources Evaluation (1997), Oxford University Press, New York 496pp
20. Goovaerts P. Geostatistical modelling of uncertainty in soil science. Geoderma 103 (2001) 3-26
21. Hammersley J.M., and Handscomb D.C. Monte Carlo Methods (1979), Chapman and Hall, London 300pp
22. Helton J.C., and Davis F.J. Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems. Reliability Engineering and System Safety 81 (2003) 23-69
23. Heuvelink G.B.M. Error Propagation in Environmental Modelling with GIS (1998), Taylor and Francis, London 144pp
24. Heuvelink G.B.M. Analysing uncertainty propagation in GIS: why is it not that simple?. In: Foody G.M., and Atkinson P.M. (Eds). Uncertainty in Remote Sensing and GIS (2002), Wiley, Chichester 155-165
25. Heuvelink, G.B.M., Brown, J.D., Van Loon, E.E., 2006a. A Probabilistic framework for representing and simulating uncertain environmental variables. International Journal of Geographic Information Science, in press.
26. Heuvelink, G.B.M., Schoorl, J.M., Veldkamp, A., Pennock, D.J., 2006b. Space-time Kalman filtering of soil redistribution. Geoderma, in press.
27. Isaaks E.H., and Srivastava R.M. An Introduction to Applied Geostatistics (1989), Oxford University Press, New York 592pp
28. Jaulin L., Kieffer M., Didrit O., and Walter E. Applied Interval Analysis (2001), Springer, Berlin 384pp
29. Jazwinski A.H. Stochastic Processes and Filtering Theory (1970), Academic Press, New York 376pp
30. Kachitvichyanukul V., and Schmeiser B.W. Binomial random variate generation. Communications of the ACM 31 (1988) 216-222
31. Karssenberg D., and De Jong K. Dynamic environmental modelling in GIS. 2: modelling error propagation. International Journal of Geographical Information Science 19 (2005) 623-637
32. Knuth D.E. The Art of Computer Programming. third ed (1998), Addison-Wesley, Reading, MA
33. Matsumoto M., and Nishimura T. A 623-dimensionally equidistributed uniform pseudorandom number generator. ACM Transactions on Modeling and Computer Simulation 8 1 (1998) 3-30
34. Monahan J.F. An algorithm for generating chi random variables. ACM Transactions of Mathematical Software 13 (1987) 168-172
35. In: Moorthy U., and Fieller N. (Eds). Editorial. The Statistician 47 1 (1998) 1-2
36. Norberg T., Rosén L., Baran A., and Baran S. On modelling discrete geological structures as Markov random fields. Mathematical Geology 34 (2002) 63-77
37. Pebesma E.J. Multivariable geostatistics in S: the gstat package. Computers and Geosciences 30 (2004) 683-691
38. Refsgaard J.C., Nilsson B., Brown J.D., Klauer B., Moore R.V., Bech T., Vurro M., Blind M., Castilla G., Tsanis I., and Biza P. Harmonised techniques and representative river basin data for assessment and use of uncertainty information in integrated water management (HarmoniRiB). Environmental Science and Policy 8 (2005) 267-277
39. Sakasegawa H. Stratified rejection and squeeze method for generating beta random numbers. Annuls of the Institute of Statistical Mathematics 35 B (1983) 291-302
40. Saltelli A., Tarantola S., Campolongo F., and Ratto M. Sensitivity Analysis in Practice, A Guide to Assessing Scientific Models (2004), Wiley, New York 232pp
41. Schweppe F.C. Recursive state estimation: unknown but bounded errors and system inputs. IEEE Transactions on Automatic Control 13 (1968) 22-28
42. Shi W. A generic statistical approach for modelling error of geometric features in GIS. International Journal of Geographical Information Science 12 (1998) 131-143
43. Shi W.Z., Fisher P.F., and Goodchild M.F. Spatial Data Quality (2000), Taylor and Francis, London
44. Sivapalan M., and Blöschl G. Transformation of point rainfall to areal rainfall: intensity-duration-frequency curves. Journal of Hydrology 204 (1998) 150-167
45. Stadlober E., and Zechner H. The patchwork rejection method for sampling from unimodal distributions. ACM Transactions on Modeling and Computer Simulation 9 1 (1999) 59-80
46. Taylor J.R. An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements. second ed (1997), University Science Books, Sausalito, CA 327pp
47. Venables W.N., and Ripley B.D. Modern Applied Statistics with S. fourth ed (2002), Springer, New York 501pp
48. Wolfram S. The Mathematica Book. fifth ed (2003), Wolfram Media Incorporated 1488pp
49. Wu K., Nunan N., Crawford J.W., Young I.M., and Ritz K. An efficient Markov chain model for the simulation of heterogeneous soil structure. Soil Science Society of America Journal 68 (2004) 346-351
50. Zadeh L.A. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems 1 (1978) 3-28
51. Zechner H., and Stadlober E. Generating beta variates via patchwork rejection. Computing 50 (1993) 1-18
52. Zhang J., and Goodchild M. Uncertainty in Geographic Information (2002), Taylor and Francis, London 192pp