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地理分级统计产量地图

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Produce a polished geographic choropleth map infographic of a fictional agricultural region called the Solterra Basin, showing harvest yield by district. Use a minimalist cartographic style on an off-white background with muted terrain hints and a sequential palette from pale sand to deep green. The map should include 14 clearly separated districts with clean borders, crisp labels, and a right-side legend. Include in-image text: "Solterra Basin Harvest Yield", "2025", and legend title "tons / hectare". Label districts with names such as "North Vale", "Riverbend", "Copper Plain", "East Orchard", and "Cinder Ridge". Include legend values "1.2", "2.4", "3.6", "4.8", and "6.0". Add a compact annotation box reading "Highest yield: East Orchard 5.8" and "Lowest yield: Dry Steppe 1.4". Prioritize clean typography, accurate map-like geometry, balanced composition, subtle cartographic detail, and publication-grade infographic clarity.
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作者
Wuyoscar(整理)
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wuyoscar/GPT-Image2-Skill
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收录自 GPT-Image2-Skill(上游提交 05cb1130bba29e0fc028220376280a2e934a8041,案例 No. 112)。上游仓库声明 MIT License,并要求保留图库作者和来源标注;部分案例另有第三方作者/来源,原始素材的单独授权未核实。仓库许可全文见本站项目 docs/third-party/GPT-Image2-Skill-LICENSE.txt。源图库:https://github.com/wuyoscar/GPT-Image2-Skill/blob/05cb1130bba29e0fc028220376280a2e934a8041/skills/gpt-image/references/gallery-data-visualization.md

地理分级统计产量地图,源图库所展示的生成结果