On blind tests and spatial prediction models

Natural Resources Research

Volumn 17, Issue 2, 2008, Pages 107-118

  Fabbri, Andrea G ^a,b   Chung, Chang Jo ^c  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

^c GEOLOGICAL SURVEY OF CANADA   (Canada)

Author keywords

Blind test; Cross validation; Favorability; Hazard; Mineral exploration; Spatial prediction

Indexed keywords

EID: 44949171460     PISSN: 15207439     EISSN: 15738981     Source Type: Journal    
DOI: 10.1007/s11053-008-9072-y     Document Type: Article

References (47)

1. Agterberg FP, Bonham-Carter GF (2005) Measuring the performance of mineral potential maps. Nat Resourc Res 14(1):1-17. doi: 10.1007/s11053-005- 4674-0.
2. Arthur JD, Wood HAR, Baker AF, Cichon JR, Raines GL (2007) Development and implementation of a Bayesian-based aquifer vulnerability assessment in Florida. Nat Resour Res 10(2): 93-107 doi: 10.1007/s11053-007-9038-5.
3. Begueria S (2006) Validation and evaluation of predictive models in hazard assessment and risk management. Nat Hazards, 37: 315-329 doi: 10.1007/s11069-005-5182-6.
4. Behnia P (2007) Application of Radial Basis Functional Link Networks to exploration for Proterozoic mineral deposits in central Iran. Nat Resour Res 10(2):147-158 doi: 10.1007/s11053-007-9036-7.
5. Brown W, Groves D, Gedeon T (2003) Use of fuzzy membership input layers to combine subjective geological knowledge and empirical data in a neural network method for mineral-potential mapping. Nat Resour Res 12(3):183-200 doi: 10.1023/A:1025175904545.
6. Cheng Q (2004) Application of weights of evidence methods for assessment of flowing wells in the Greater Toronto Area, Canada. Nat Resour Res 13(2): 77-86 doi: 10.1023/B:NARR.0000032645.46747.48.
7. Chung CF (2003) Use of airborne geophysical surveys for constructing mineral potential maps. Econ Geol Monographs 11:879-891.
8. Chung CF (2006) Using likelihood ratio functions for modeling the conditional probability of occurrence of future landslides for risk assessment. Comput Geosci 32(8):1052-1068 doi: 10.1016/j.cageo.2006.02.003.
9. Chung CF, Fabbri AG (1993) Representation of geoscience data for information integration. J Non-renewable Res 2(2):122-139.
10. Chung, C. F., and Fabbri, A. G., 1998, Three Bayesian prediction models for landslide hazard, in Buccianti, A., ed., Proceedings of International Association for Mathematical Geology 1998 Annual Meeting (IAMG'98): Ischia, Italy, October 3-7, 1998, p. 204-211.
11. Chung CF, Fabbri AG. (1999) Probabilistic prediction models for landslide hazard mapping. Photogramm Eng Remote Sensing 65(12): 1389-1399.
12. Chung, C. F., and Fabbri, A. G., 2003, Validation of spatial prediction models for landslide hazard mapping, in Chacon, J., and Corominas, J., eds., Special issue on Landslides and GIS: Nat. Hazards, v. 30, no. 3, p. 451-472.
13. Chung CF, Fabbri AG (2004) Systematic procedures of landslide hazard mapping for risk assessment using spatial prediction models. In: Glade T, Anderson MG, Crozier MJ (eds) Landslide Hazard and Risk. New York, John Wiley & Sons, New York, 139-174.
14. Chung, C. F., and Fabbri, A. G., 2005, On mineral potential maps and how to make them useful, in Cheng, Q., and Bonham-Carter, G., eds., GIS and Spatial Analysis, Proceedings of IAMG '05, v. 1: Toronto, Canada, Aug. 21-26, 2005, p. 533-538.
15. Chung CF, Fabbri AG (2008) Predicting future landslides for risk analysis-spatial models and cross-validation of their results. Geomorphology 94(3-4): 438-452 doi: 10.1016/j.geomorph.2006.12.036.
16. Chung CF, Fabbri AG, van Westen CJ (1995) Multivariate regression analysis for landslide hazard zonation. In: Carrara A, Guzzetti F (eds) Geographical Information Systems in Assessing Natural Hazards. Dordrecht, Kluwer Academic Publishers, Dordrecht, 107-133.
17. Chung, C. F., Fabbri, A. G., and Chi, K. H., 2002a, A strategy for sustainable development of nonrenewable resources using spatial prediction models, in Fabbri, A. G., Gáal, G., and McCammon, R. B., eds., Geoenvironmental Deposit Models for Resource Exploitation and Environmental Security: Kluwer, Dordrecht, p. 101-118.
18. Chung CF, Kojima H, Fabbri AG (2002b) Stability analysis of prediction models for landslide hazard mapping. In: Allison RJ (ed) Applied Geomorphology: Theory and Practice. John Wiley and Sons, Ltd., New York, 3-19.
19. Chung, C. F., Fabbri, A. G., Jang, D. H., and Scholten, H. J., 2005a, Risk assessment using spatial prediction model for natural disaster preparedness, in van Oosterom, P., Zlatanova, S., Fendel, E. M., eds., Geo-informastion for Disaster Management: Springer, Berlin, p. 619-640. Proceedings of Gi4DM, The First Symposium on Geo-information for Disaster Management: Delft, Netherlands, March 21-23, 2005, p. 619-640.
20. Chung, C. F., Harris, J. R., Keating, P., Kjarsgaard, B., Parsons, S., 2005b, Preliminary report on developing a mineral potential map for diamond exploration in Lac de Gras area, NWT. Unpublished manuscript.
21. Chung, C. J., Bonin, D., Fannin, R. J., Fabbri, A. G., Journeay, M., 2006, Uncertainty in predicting landslide hazard in the Coquitlam reservoir area, B.C., Canada, in Proceedings of IAMG'06, Liege, Belgium, September 3-8, 2006, Session S09-07, 4 p., CD.
22. Coolbaugh MF, Raines GL, Zehner E (2007) Assessment of exploration bias in data-driven predictive models and the estimation of undiscovered resources. Nat Resour Res 10(2): 199-207 doi: 10.1007/s11053-007-9037-6.
23. Corominas, J., Copons, R., Vilaplana, J. M., Altimir, J., and Amigó, J., 2003, Integrated landslide susceptibility analysis and hazard assessment in the principality of Andorra, in Chacon, J., and Corominas, J., eds., Special issue on Landslides and GIS: Nat. Hazards, v. 30, no. 3, p. 421-435.
24. de Quadros TFP, Koppe JC, Strieder AJ, Coste JFCL (2006) Mineral potential mapping: a comparison of weights-of-evidence and fuzzy methods. Nat Resour Res 15(1): 49-65 doi: 10.1007/s11053-006-9010-9.
25. Fabbri, A. G., Chung, C. F., Cendrero, A., and Remondo, J., 2003, Is prediction of future landslides possible with a GIS? in Chacon, J., and Corominas, J., eds., Special issue on Landslides and GIS: Nat. Hazards, v. 30, no. 3, p. 487-499.
26. Fabbri AG, Chung CF, Jang DH (2004) A software approach to spatial predictions of natural hazards and consequent risks. In: Brebbia CA (ed) Risk Analysis IV. WIT Press, Southampton, Boston, 289-305.
27. Harris DV, Zurcher L, Stanley M, Marlowe J, Pan G (2003) A comparative analysis of favorability mapping by Weights of Evidence, Probabilistic Neural Networks, Discriminant Analysis and Logistic Regression. Nat Resour Res 12(4): 241-255 doi: 10.1023/B:NARR.0000007804.27450.e8.
28. Lee S, Ryu JH, Lee MJ, Won JS (2006) The application of artificial neural networks for landslide susceptibility mapping at Jangshung, Korea. Mat Geol 38(2): 199-220 doi: 10.1007/s11004-005-9012-x.
29. Masetti M, Poli S, Sterlacchini S (2007) The use of Weights-of-Evidence modeling technique to estimate the vulnerability of groundwater to nitrate contamination. Nat Resour Res10(2):109-119 doi: 10.1007/s11053-007-9045-6.
30. Nelson EP, Connors KA, Suárez CS (2007) GIS-based slope stability analysis, Chuquicamata open pit copper mine, Chile. Nat Resour Res 10(2): 171-190 doi: 10.1007/s11053-007-9044-7.
31. Nykanen V, Ojala VJ (2007) Spatial analysis techniques as successful mineral-potential mapping tools for orogenic gold deposits in the northern Fennoscandian Shield, Finland. Nat Resour Res10(2): 85-92 doi: 10.1007/s11053-007-9046-5.
32. Poli S, Sterlacchini S (2007) Landslide representation strategies in susceptibility studies using Weights-of-Evidence modeling technique. Nat Resour Res 10(2): 121-134 doi: 10.1007/s11053-007-9043-8.
33. Porwal A, Carranza EJM, Hale M (2003a) Knowledge-driven and data-driven fuzzy models for predictive mineral potential mapping. Natl Resour Res 12(1): 1-25 doi: 10.1023/A:1022693220894.
34. Porwal A, Carranza EJM, Hale M (2003b) Artificial neural networks for mineral-potential mapping: a case study from Aravalli Province, western India. Natural Resources Research, v. 12(n. 3): p. 155-171. doi: 10.1023/A: 1025171803637.
35. Porwal A., Carranza EJM, Hale M (2006a) Bayesian network classifiers for mineral potential mapping. Comput Geosci 32: 1-16 doi: 10.1016/j.cageo.2005.03. 018.
36. Porwal A, Carranza EJM, Hale M (2006b) A hybrid fuzzy weights-of-evidence model for mineral potential mapping. Nat Resour Res 15(1): 1-14 doi: 10.1007/s11053-006-9012-7.
37. Raines GL (1999) Evaluation of weights of evidence to predict epithermal-gold deposits in the great basin of the western United States. Nat Resour Res 8(4): 257-276 doi: 10.1023/A:1021602316101.
38. Remondo, J., González-Díez, A., Díaz de Terán, J. R., and Cendrero, A., 2003a, Quantitative landslide susceptibility models by means of spatial data analysis techniques; a case study in the lower Deva valley, Guipuzcoa (Spain), in Chacon, J., Corominas, J., eds., Special issue on Landslides and GIS: Nat. Hazards, v. 30, no. 3, p. 267-279.
39. Remondo, J., González-Díez, A., Díaz de Terán, J. R., Cendrero, A., Fabbri, A. G., and Chung, C. F., 2003b, Validation of landslide susceptibility maps; examples and applications from a case study in Northern Spain, in Chacon, J., Corominas, J., eds., Special issue on Landslides and GIS: Nat. Hazards, v. 30, no. 3, p. 437-449.
40. Robinson GR Jr., Larkins PM (2007) Probabilistic prediction models for aggregate quarry siting. Nat Resour Res 10(2): 135-146 doi: 10.1007/s11053-007- 9039-4.
41. Santacana, N., Baeza, C., Corominas, J., de Paz, A., Marturiá, J., 2003, A GIS-based multivariate statistical analysis for shallow landslide susceptibility mapping in La Pobla de Lillet Area (Eastern Pyrenees, Spain). in Chacon, J., Corominas, J., eds., Special issue on Landslides and GIS: Nat. Hazards, v. 30, no. 3, p. 281-295.
42. Singer DA, Kouda R (1999) A comparison of weight-of-evidence method and probabilistic neural networks. Nat Resour Res 8(4): 287-298 doi: 10.1023/A:1021606417010.
43. Skabar AA (2005) Mapping mineralization probabilities using multilayer perceptrons. Nat Resour Res 14(2): 109-123 doi: 10.1007/s11053-005-6955-z.
44. Tissari S, Nykänene V, Lerssi J, Kolehmainen M (2007) Classification of soil groups using Weights-of-Evidence method and RBFLN-neural nets. Nat Resour Res 10(2): 159-169 doi: 10.1007/s11053-007-9040-y.
45. van Westen, C. J., Rengers, N., Soeters, R., 2003, Use of geomorphological information in indirect landslide susceptibility assessment. in Chacon, J., Corominas, J., eds., Special issue on Landslides and GIS: Nat. Hazards, v. 30, no. 3, p. 399-419.
46. Zêzere JL, Reis E, Garcia R, Oliveira S, Rodrigues ML, Vieira G, Ferreira AB (2004) Integration of spatial and temporal data for the definition of different landslide hazard scenarios in the area north of Lisbon (Portugal). Nat Hazards and Earth System Sciences 4: 133-146.
47. Zêzere JL, Reis E, Garcia R, Oliveira S, Rodrigues ML, Vieira G, Ferreira AB (2004) Integration of spatial and temporal data for the definition of different landslide hazard scenarios in the area north of Lisbon (Portugal). Nat Hazards and Earth System Sciences 4: 133-146.