In the last few decades, certain urban centers in Andhra Pradesh have witnessed tremendous growth attracting people from neighboring areas for better opportunities. This has resulted in a large inflow of people into these urban centers. For example, in Hyderabad, huge amount of urban development has taken place. This has led to a large amount of in-migration to this region mostly from the neighboring areas. This belief is supported by the fact that the population of Hyderabad has more than doubled since the last decade. This work therefore aims to analyze the spatial and temporal aspects of in-migration, identify the factors that contribute to attraction of migrants, find migration patterns and develop a regression model. For this, an attractive index is developed using socio-economic factors to measure the pull-factor of the region. Data mining tool RWeka is used to come up with socio-economic factors – income, health and education dimensions to be used in the development of a distance weighted regression model. Population density, income, health and education dimensions for the years 1991 and 2001 are used as training set. The developed model was tested with data for the year 2011. Initial results are able to predict the population density for the year 2011 with about 72% accuracy. A comparison of these figures with spatial auto-correlation statistics will be presented in the full paper.

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Spatio-Temporal analysis for finding migration patterns in Andhra Pradesh using RWeka

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