Compound Dry-Season Risk Map
Budget: €8 – €30 EUR
I’m preparing an environmental-governance paper on the 2019 dry-season crisis in the Lower Mekong (northern Thailand, Lao PDR, Cambodia) and need a polished, publication-ready map produced in QGIS. You’ll receive curated GeoJSON layers for PM₂.₅ and hydrological gauges, plus references outlining threshold values: concentrations above 100 µg/m³ and river discharge below 80 % of reference flow during March–April 2019.
Your part is to:
• integrate the supplied datasets in QGIS,
• run the necessary geoprocessing to isolate the overlap zone where both thresholds are exceeded,
• calculate an approximate population count for that zone (your preferred population raster or vector source is fine—just cite it),
• design a clear, standard thematic map showing the two hazards, their intersection, and a concise population annotation.
I’ll review the draft layout, offer any legend or colour tweaks, then you can finalise:
• the high-resolution map (print-quality PDF + PNG),
• the editable .qgz project with all style files,
• a brief note on methods and the population estimate table.
Keep the workflow reproducible, stick to open-source plugins/tools, and ensure all layers are properly projected for regional accuracy. Looking forward to a crisp, insightful visual that anchors the discussion section of the paper.
Your part is to:
• integrate the supplied datasets in QGIS,
• run the necessary geoprocessing to isolate the overlap zone where both thresholds are exceeded,
• calculate an approximate population count for that zone (your preferred population raster or vector source is fine—just cite it),
• design a clear, standard thematic map showing the two hazards, their intersection, and a concise population annotation.
I’ll review the draft layout, offer any legend or colour tweaks, then you can finalise:
• the high-resolution map (print-quality PDF + PNG),
• the editable .qgz project with all style files,
• a brief note on methods and the population estimate table.
Keep the workflow reproducible, stick to open-source plugins/tools, and ensure all layers are properly projected for regional accuracy. Looking forward to a crisp, insightful visual that anchors the discussion section of the paper.