测绘学报 ›› 2026, Vol. 55 ›› Issue (3): 390-403.doi: 10.11947/j.AGCS.2026.20250354

• 数智时代地图学新理论与新方法 • 上一篇    下一篇

顾及使用场景的绿色地图颜色生成方法研究

吴明光1,2,3(), 成梓铭1,2   

  1. 1.南京师范大学地理科学学院,江苏 南京 210023
    2.南京师范大学虚拟地理环境教育部重点实验室,江苏 南京 210023
    3.江苏省地理信息资源开发与利用协同创新中心,江苏 南京 210023
  • 收稿日期:2025-08-28 修回日期:2026-03-03 出版日期:2026-04-16 发布日期:2026-04-16
  • 作者简介:吴明光(1979—),男,博士,教授,研究方向为空间数据模型、空间信息可视化、空间信息服务等。E-mail:wmg@njnu.edu.cn
  • 基金资助:
    国家自然科学基金(4237144; 41971417)

Color generation method for green maps considering use contexts

Mingguang WU1,2,3(), Ziming CHENG1,2   

  1. 1.School of Geography, Nanjing Normal University, Nanjing 210023, China
    2.Key Laboratory of Virtual Geographic Environment of Ministry of Education, Nanjing Normal University, Nanjing 210023, China
    3.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
  • Received:2025-08-28 Revised:2026-03-03 Online:2026-04-16 Published:2026-04-16
  • About author:WU Mingguang (1979—), male, PhD, professor, majors in spatial data model, spatial information visualization and spatial information service. E-mail: wmg@njnu.edu.cn
  • Supported by:
    The National Natural Science Foundation of China(4237144; 41971417)

摘要:

如何顾及“节能环保”和“视觉健康”生成低功耗且有益视觉健康的地图(绿色地图)是当前的研究挑战。然而,现有绿色地图颜色生成方法考虑的因子有限,缺少统一的生成算法框架。针对这一问题,本文在归纳绿色地图使用场景因子的基础上,构建一个可扩展的绿色地图颜色生成框架。首先,从地图的内容与形式、读者特征、承载介质3个方面梳理绿色地图使用场景因子;然后,构建包含绿色地图颜色优化、推荐、风格迁移3种方法的颜色生成框架;最后,选择典型样例地图进行试验,生成针对不同使用场景的绿色地图。试验结果表明,生成的绿色地图可以在不影响地图的色彩美和读者读图效率的情况下,降低60%的功率、过滤60%蓝光辐射且能够有效缓解视觉疲劳。本文方法可丰富绿色地图的生成方法,有望促进绿色地图的实际应用。

关键词: 绿色地图, 能量消耗, 视觉疲劳, 使用场景

Abstract:

How to consider “energy conservation and environmental protection” with “visual health” to generate low-power, visually beneficial maps (green maps) is a current research challenge. However, existing color generation methods for green maps consider limited factors and lack a unified generation algorithm framework. To address this issue, this paper constructs an extensible color generation framework for green maps based on summarizing the factors related to the use contexts of green maps. First, contextual factors of green maps are sorted out from three aspects: map content and form, user features, and display medium. Then, a framework comprising three generation methods—green maps color optimization, color recommendation, and color style transfer—is developed. Finally, representative sample maps are used to generate green maps tailored to different use contexts. Experimental results show that the proposed method can reduce power consumption by 60% and filter 60% of blue-light radiance without compromising color aesthetics or map-reading efficiency, while effectively alleviating visual fatigue. The approach enriches methods for generating green maps and is expected to facilitate their practical adoption.

Key words: green maps, energy consumption, visual fatigue, use context

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