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Risk, Landscape and Health perceptions in Tarragona

  • Identification data

    Identifier: PC:4456
    Authors:
    Gheitasi, Mahdi
  • Others:

    Researcher identifier: 000-0002-9537-5993
    Published by (editorial): Universitat Rovira i Virgili (URV)
    Language: es
    Related publications: Mapping Risk Perceptions in Petrochemical Clusters: A PPGIS Approach to Understanding Public Concerns and Official Risk Zones, journal of risk analysis
    Summary in other languages: 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
    Departament: Geografia
    DOI: 10.34810/data2172
    Document type: info:eu-repo/semantics/other
    Author: Gheitasi, Mahdi
    Keywords: 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
    Dataset publication year: 2025
    Funding program action: Spanish Ministry of Science, Innovation and Universities: PRE-2021-098679 Spanish Ministry of Science, Innovation and Universities: PID2020-114363GB-I00
    Dataset title: Risk, Landscape and Health perceptions in Tarragona
  • Keywords:

    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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