A spatially autocorrelated weights of evidence model

Natural Resources Research

Volumn 19, Issue 1, 2010, Pages 33-44

  Deng, Minfeng ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

Autologistic regression; Logistic regression; Simulation; Spatial prediction

Indexed keywords

EID: 77949659551     PISSN: 15207439     EISSN: 15738981     Source Type: Journal    
DOI: 10.1007/s11053-009-9107-z     Document Type: Article

References (34)

1. Agterberg, F. P., 1992, Combining indicator patterns in weights of evidence modelling for resource evaluation: Nonrenew. Res., v. 1, no. 1, p. 35-50.
2. Agterberg, F. P., and Bonham-Carter, G. F., 1999, Logistic regression and weights of evidence modelling in mineral exploration, in Computer Applications in the Mineral Industries: Golden, CO, p. 483-490.
3. Agterberg, F. P., Bonham-Carter, G. F., and Wright, D. F., 1990, Statistical pattern integration for mineral exploration, in Gaál, G., and Merriam, D. F., eds., Computer Applications in Resource Exploration Prediction and Assessment for Metals and Petroleum: Oxford, Pergamon, p. 1-21.
4. Agterberg, F. P., Bonham-Carter, G. F., Wright, D. F., and Cheng, Q., 1993, Weights of evidence modelling and weighted logistic regression for mineral potential mapping, in Davis, J. C., and Herzfeld, U. C., eds., Computers in Geology, 25 Years of Progress: Oxford University Press, New York, p. 13-32.
5. Amemiya, T., 1981, Qualitative response models: a survey: J. Econ. Lit., v. 19, p. 1483-1536.
6. Anselin, L., 1980, Estimation methods for spatial autoregressive structures: a study in spatial econometrics: Regional Science Dissertation and Monograph Series 8, Program in Urban and Regional Studies, Cornell University, Ithaca, New York, 273 p.
7. Anselin, L. 1988, Spatial econometrics: methods and models: Kluwer Academic Publishers, Dordrecht, 284 p.
8. Augustin, N. H., Mugglestone, M. A., and Buckland, S. T., 1996, An autologistic model for the spatial distribution of wildlife: J. Appl. Ecol., v. 33, p. 339-347.
9. Augustin, N. H., Mugglestone, M. A., and Buckland, S. T., 1998, The role of simulation in modelling spatially correlated data: Environmetrics, v. 9, p. 175-196.
10. Besag, J., 1972, Nearest-neighbour systems and the auto-logistic model for binary data: J. R. Stat. Soc. B, v. 34, p. 75-83.
11. Besag, J., 1974, Spatial interaction and the statistical analysis of lattice systems (with discussion): J. R. Stat. Soc. B, v. 36, p. 192-236.
12. Besag, J., 1975, Statistical analysis of non-lattice data: Statistician, v. 24, p. 179-195.
13. Bonham-Carter, G. F., 1994, Geographic Information Systems for geoscientists: Oxford, Pergamon, 398 p.
14. Bonham-Carter, G. F., Agterberg, F. P., and Wright, D. F., 1988, Integration of geological datasets for gold exploration in Nova Scotia: Photogram. Remote Sens., v. 54, no. 11, p. 1585-1592.
15. Bonham-Carter, G. F., Agterberg, F. P., and Wright, D. F., 1989, Weights of evidence modelling: a new approach to mapping mineral potential, in Agterberg, F. P. and Bonham-Carter, G. F., eds., Statistical Applications in the Earth Sciences: Geological Survey Canada Paper 9-9, p. 171-183.
16. Cliff, A. D., and Ord, J. K., 1973, Spatial autocorrelation: Pion, London, 178 p.
17. Comets, F., 1992, On consistency of a class of estimators for exponential families of Markov random fields on the lattice: Ann. Stat., v. 20, no. 1, p. 445-568.
18. Cressie, N. A. C., 1993, Statistics for spatial data, revised edition: Wiley, New York, 900 p.
19. Dahal, R. K., Hasegawa, S., Nonomura, A., Yamanaka, M., Masuda, T., and Nishino, K., 2008, GIS-based weights-of-evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping: Environ. Geol., v. 54, p. 311-324.
20. Deng, M., 2009, A conditional dependence adjusted weights of evidence model: Nat. Resour. Res. doi: 10. 1007/s11053-009-9101-5.
21. Emelyanova, I. V., Donald, G. E., Miron, D. J., Henry, D. A., and Garner, M. G., 2008, Probabilistic modelling of cattle farm distribution in Australia: Environ. Model. Assess., v. 14, p. 449-465.
22. Haining, R., 1985, The spatial structure of competition and equilibrium price dispersion: Geograph. Anal., v. 17, p. 231-242.
23. Hansen, D. T., 2000, Describing GIS applications: spatial statistics and weights of evidence extension to ArcView in the analysis of the distribution of archeology sites in the landscape: Proceedings of the 20th Annual ESRI International User Conference, San Diego, CA.
24. Hansen, D. T., West, J., Simpson, B., and Welch, P., 2002, Modeling spatial uncertainty in analysis of archeological site distribution: Proceedings of the 22nd Annual ESRI International User Conference, San Diego, CA.
25. Huffer, F. W., and Wu, H., 1998, Markov Chain Monte Carlo for autologistic regression models with application to the distribution of plant species: Biometrics, v. 54, p. 509-524.
26. Johnston, J., and Dinardo, J., 1997, Econometric methods, 4th ed.: McGraw-Hill, New York, 531 p.
27. Mathew, J., Jha, V. K., and Rawat, G. S., 2007, Weights of evidence modelling for landslide hazard zonation mapping in part of Bhagirathi valley, Uttarakhand: Curr. Sci., v. 92, no. 5, p. 628-638.
28. Ord, J. K., 1975, Estimation methods for models of spatial interaction: J. Am. Stat. Assoc., v. 70, p. 120-126.
29. Romero-Calcerrada, R., and Luque, S., 2006, Habitat quality assessment using Weights-of-Evidence based GIS modelling: the case of Picoides tridactylus as species indicator of the biodiversity value of the Finnish forest: Ecol. Modell., v. 196, p. 62-76.
30. Tobler, W. R., 1970, A computer movie simulating urban growth in the Detroit Region: Econ. Geogr., v. 46, p. 234-240.
31. Vining, D. J., and Gladish, G. W., 1992, Receiver operating characteristic curves: a basic understanding: RadioGraphics, v. 12, p. 1147-1154.
32. Wintle, B. A., and Bardos, D. C., 2006, Modeling species-habitat relationships with spatially autocorrelated observation data: Ecol. Appl., v. 16, no. 5, p. 1945-1958.
33. Wu, H., and Huffer, F. W., 1997, Modelling the distribution of plant species using the autologistic regression model: Environ. Ecol. Stat., v. 4, p. 49-64.
34. Zweig, M. H., and Cambell, G., 1993, Receiver operator characteristic plots: a fundamental evaluation tool in clinical medicine: Clin. Chem., v. 39, p. 561-577.