Comparative performance of logistic regression and survival analysis for detecting spatial predictors of land-use change

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International Journal of Geographical Information Science, Vol. 27, Iss. 10, 2013-10 ,pp. : 1960-1982

Taylor & Francis Ltd

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Sensitivity analysis of logistic regression parameterization for land use and land cover probability estimation

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Taylor & Francis Ltd

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Predictive ability of logistic regression, auto-logistic regression and neural network models in empirical land-use change modeling - a case study

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Classification of Soil Groups Using Weights-of-Evidence-Method and RBFLN-Neural Nets

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Using geovisual analytics to compare the performance of geographically weighted discriminant analysis versus its global counterpart, linear discriminant analysis

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