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UID:pretalx-foss4g-2026-NEVSDP@talks.osgeo.org
DTSTART;TZID=JST:20260903T110000
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DESCRIPTION:This presentation reports the renewable energy zoning project c
 onducted in Urahoro\, Hokkaido. By combining QGIS with various open data s
 ources and utilizing a custom-built participatory mapping system developed
  with generative AI\, we visualized locations valued by residents to achie
 ve an appropriate balance between conservation and renewable energy develo
 pment.
DTSTAMP:20260605T024711Z
LOCATION:Dahlia1
SUMMARY:Participatory Renewable Energy Zoning Using QGIS and Open Data: A C
 ase Study in Urahoro\, Hokkaido - Shota Furuya
URL:https://talks.osgeo.org/foss4g-2026/talk/NEVSDP/
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