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Using Raster Based Solutions to Identify Spatial Economic Agglomerations

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  • Marian DARDALA
  • Adriana REVEIU

Abstract

The efficient economic activities incline to be concentrated in space, and therefore there is an increased attention over the forces of spatial economic agglomerations and the role of location in economic development. This paper proposes some solutions to automate the identification of spatial agglomerations and their intensities, function on the spatial distribution of items in the geographical areas. The software components developed to accomplish this task are Geographic Information Systems specific tools.

Suggested Citation

  • Marian DARDALA & Adriana REVEIU, 2013. "Using Raster Based Solutions to Identify Spatial Economic Agglomerations," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 17(1), pages 131-143.
    • Handle: RePEc:aes:infoec:v:17:y:2013:i:1:p:131-143
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    References listed on IDEAS

    as
    1. Adriana REVEIU & Marian DARDALA, 2011. "Techniques for Statistical Data Visualization in GIS," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 15(3), pages 72-79.
    2. Radu Cristian MUŞETESCU, 2012. "The Economics of State Aid Control in the European Union during the Financial Crisis: the Challenge for a Post-Crisis Rhetoric," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(6(571)), pages 175-184, June.
    3. Catalin Boja, 2011. "Clusters Models, Factors and Characteristics," International Journal of Economic Practices and Theories, Academy of Economic Studies - Bucharest, Romania, vol. 1(1), pages 34-43, July.
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