Full text: XIXth congress (Part B7,1)

  
  
Felkner, John 
  
Future possible directions for this research include the following: 
A. using a method of logistic regression rather than tree classification for a predictive model — comparison with tree 
approach can be evaluated by the resulting accuracy of the predicted maps; 
B. sensitivity testing of the parameters used to create the socioeconomic models and then considering the different 
predictions resulting from those models for accuracy; : 
C. evaluating predictions resulting from inputting different combinations of input models into the prediction 
regression model, to see which combinations result in the most accuracy; 
D. extension of the modeling to other Thai Provinces (data has been collected for Lop Buri and Buriram Provinces) - 
this could allow analysis of relative influences of input models for different regions of a developing tropical 
country, perhaps showing that the same factors predict most accurately in each Province, or that different 
explanatory factors are different depending on regions with differing conditions; 
E. exploration of various methods of spatial representation of the economic inputs under consideration using GIS and 
splus statistical software (e.g. kriging methods of spatial representation of inputs); 
F. extension of the model to other tropical developing countries. 
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Bonham-Carter, G. F. (1994). Geographic Information Systems for Geoscientists: Modeling with GIS. New York, 
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Jensen, J. R. (1996). Introductory Digital Image Processing. Upper Saddle River, NJ, Prentice-Hall, Inc. 
Kaimowitz, D. and A. Angelsen (1998). Economic Models of Tropical Deforestation - A Review. Jakarta, Center for 
International Forestry Research. 
Laslett, G. M., A. B. McBratney, et al. (1987). “Comparison of Several Spatial Prediction Methods for Soil pH.” 
Journal of Soil Science(38): 325-241. 
Myer, D. E. (1991). “Interpolation and Estimation with Spatially Located Data.” Chemometrics and Intelligent 
Laboratory Systems(11): 209-228. 
O'Connor, R., M. T. Jones, et al. (1996). “Spatial Partitioning of Environmental Correlates of Avian Biodiversity in the 
Conterminous United States.” Biodiversity Letters(3): 97-110. 
Venables, W. N. and B. D. Ripley (1994). Modern Applied Statistics with S-PLUS. New York, Springer-Verlag. 
  
438 International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B7. Amsterdam 2000. 
 
	        
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