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Spatio-Temporal analysis for finding migration patterns in Andhra Pradesh using RWekaAuthors: Neha Pande, K S Rajan Conference: Free and Open Source software for Geospatial (FOSS4G India 2015 2015) Date: 2015-06-08 Report no: IIIT/TR/2015/71 AbstractIn the last few decades, certain urban centers in Andhra Pradesh hav e witnessed tremendous growth attracting people from neighboring areas for better opportunities. For example, in Hyderabad, this has led to huge growth in urban areas of the city and can be attributed 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 patterns in migration and develop a regression model. For this, an attractiveness index is developed using socio - economic factors to measure the pull - factor of the region. Data mining tool R is used to analyse the socio - economic factors and identify the prominent ones - income, health and education dimensions leading to the development of a distance weighted regression model. While the datasets for the years 1991 and 2001 are used as training set, the developed mod el output has been tested with data for the year 2011. The predicted population density is close to the observed population density for the year 2011. A comparison of these figures with spatial auto - correlation statistical approaches is also presented here Full paper: pdf Centre for Spatial Informatics |
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