Departamento: Geografia
DOI: 10.34810/data2208
Publicado por (editorial): Universitat Rovira i Virgili (URV)
Idioma: ca
Tipo de documento: info:eu-repo/semantics/other
Publicaciones relacionadas: 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
Autor: Gheitasi Mahdi
Palabras clave: 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
Resumen en otro idiomas: 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
Año de publicación de la dataset: 2025
Acción del progama de financiación: Spanish Ministry of Science, Innovation and Universities: PRE-2021-098679 Spanish Ministry of Science, Innovation and Universities: PID2020-114363GB-I00
Título del conjunto de datos: Risk, landscape and health perceptions in Teheran
Repositori URV