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R Spatial and GIS Interoperability for Ethnic, Linguistic and Religious Diversity Analysis in Romania

Author

Listed:
  • Claudiu VINTE

    (The Bucharest University of Economic Studies)

  • Titus Felix FURTUNA

    (The Bucharest University of Economic Studies)

  • Marian DARDALA

    (The Bucharest University of Economic Studies)

Abstract

Diversity aspects, particularly ethnic, linguistic and religious ones, have become global, capturing a large interest in being extremely sensitive recently. Traditionally, these had been issues concerning only particular countries and/or regions, due to specific historical conditions. The recent waves of mass migration towards the wealthier countries rose great problems regarding populations which come with radically different ethnic, linguistic and religious background compared to the local population. Our research is focused on analysing ethnic, linguistic and religious diversity in Romania, at Local Administrative Units level (LAU2), along with the segregation analysis regarding the same aspects at county (NUTS3) and region levels (NUTS2) by integrating R processing flexibility with and Geographic Information Systems (GIS) presentation abilities. R programming language offers support for developing integrated analysis solutions, based on specialized packages for computing diversity/segregation indices, in connection with packages that allow processing and visualising data geospatially, through interoperability with popular GIS, such as ArcGIS and QGIS. It is Romania census data that is employed as data source for analysis, with a focus on the latest census data from 2011.

Suggested Citation

  • Claudiu VINTE & Titus Felix FURTUNA & Marian DARDALA, 2017. "R Spatial and GIS Interoperability for Ethnic, Linguistic and Religious Diversity Analysis in Romania," Romanian Statistical Review, Romanian Statistical Review, vol. 65(4), pages 85-97, December.
    • Handle: RePEc:rsr:journl:v:65:y:2017:i:4:p:85-97
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    References listed on IDEAS

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    1. Adriana REVEIU, 2011. "Techniques for Representation of Regional Clusters in Geographical In-formation Systems," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 15(1), pages 129-139.
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    Cited by:

    1. Alexandru CONSTÃNGIOARÃ & Gyula-Laszlo FLORIAN, 2019. "Pricing Optimization Using R," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 142-149, November.
    2. Claudiu Herteliu & Ionel Jianu & Iulia Jianu & Vasile Catalin Bobb & Gurjeet Dhesi & Sebastian Ion Ceptureanu & Eduard Gabriel Ceptureanu & Marcel Ausloos, 2021. "Money’s importance from the religious perspective," Annals of Operations Research, Springer, vol. 299(1), pages 375-399, April.

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      Keywords

      R; GIS; Interoperability; Diversity Analysis; Segregation Analysis;
      All these keywords.

      JEL classification:

      • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
      • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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