Conjunts de dades de producció científicaGeografia

Risk, landscape and health perceptions in Teheran

  • Dades identificatives

    Identificador:  PC:4457
    Autors:  Gheitasi Mahdi
    Resum:
    The dataset includes data collected through a Public Participation Geographic Information System (PPGIS) survey conducted between February and April 2024. The Excel file contains 4 excel files: 1. Full PPGIS survey responses 2. Participant locations 3. Risk source locations 4. Locations of areas affected by petrochemical clusters Additionally, the dataset includes geotagged images related to the landscape perception data, corresponding to specific survey points. Shapefiles (SHP) are also provided, covering the following geographic layers: 1. Territorial boundaries 2. Risk source points 3. Participant locations 4. Affected area points 5. Petrochemical cluster polygons
  • Altres:

    Tipus de document: info:eu-repo/semantics/other
    DOI: 10.34810/data2208
    Idioma: ca
    Publicacions relacionades: Gheitasi, M., Albert, Y. P., & i Giné, D. S. (2024). Assessing technological risk and landscape perception in tehran oil refinery: A PPGIS study. In Second International Future Challenges in Sustainable UrbanPlanning & Territorial Management: Proceedings of the SUPTM 2024 conference (pp. 215-218). Universidad Politécnica de Cartagena. url https://dialnet.unirioja.es/servlet/articulo?codigo=9841143 https://dialnet.unirioja.es/servlet/articulo?codigo=9841143
    Publicat per (editora): Universitat Rovira i Virgili (URV)
    Departament: Geografia
    Autor: Gheitasi Mahdi
    Acció del programa de finançament: Spanish Ministry of Science, Innovation and Universities: PRE-2021-098679 Spanish Ministry of Science, Innovation and Universities: PID2020-114363GB-I00
    Any de publicació de la dataset: 2025
  • Paraules clau:

    Risk https://id.loc.gov/resources/works/11537032.html Landscape https://id.loc.gov/resources/works/13252053.html GIS https://id.loc.gov/resources/works/19781983.html Health https://id.loc.gov/resources/works/677429.html
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