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USING MULTIVARIATE ADAPTIVE REGRESSION SPLINE AND ARTIFICIAL NEURAL NETWORK TO SIMULATE URBANIZATION IN MUMBAI, INDIA
Land Use Change Data Mining Multivariate Adaptive Regression Spline Artificial Neural Network Receiver Operating Characteristic
2016/1/15
Land use change (LUC) models used for modelling urban growth are different in structure and performance. Local models divide the data into separate subsets and fit distinct models on each of the subse...
Measuring the welfare effects of slum improvement programs: The case of Mumbai
welfare effects improvement programs
2015/9/18
This paper evaluates the welfare effects of in situ slum upgrading and relocation programs using data for 5000 households in
Mumbai, India. We estimate a model of residential location choice in which...