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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Poverty Mapping With Geographic Information Systems: A Case Study In Kecioren District, Ankara

Kalaycioglu, Mehmet 01 December 2006 (has links) (PDF)
In the world today and in Turkey, poverty and its alleviation has become an important issue. As a result, detailed studies for the identification of poverty need to be done. In the recent years, the spatial aspect of the multidimensional character of poverty is gaining significance. For this purpose, in this thesis, spatial aspects of poverty are tried to be analysed using Geographic Information Systems (GIS) in the case of Ke&ccedil / i&ouml / ren District in Ankara. Firstly, a digital map of the spatial distribution of the urban poor living in Ke&ccedil / i&ouml / ren is made and linked to the database to analyse the spatial distribution. The poverty database used in this study is based on the data collected by the Social Assistance and Solidarity Foundation in the district. It includes state of poverty and some sociodemographic characteristics of the households who applied for social assistance. The analyses with respect to the methodology of this study aims at finding the common characteristics of poor settlements and the areas/households which are the poorest of the poor in Ke&ccedil / i&ouml / ren. The maps obtained as a result of spatial data analysis indicate the dense living areas of the poor, clusters of poor households, neighbourhood level poverty analysis and poor areas within neighbourhoods. There are also additional analyses which compare the characteristics of the geographical distribution of the poor with other aspects, such as land values, roads and building conditions. Such a study can be helpful to re-allocate the poverty alleviation efforts more efficiently by determining priority areas.

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