Acta Geodaetica et Cartographica Sinica ›› 2026, Vol. 55 ›› Issue (3): 390-403.doi: 10.11947/j.AGCS.2026.20250354

• New Theories and Methods of Cartography in the Digital and Intelligent Era • Previous Articles     Next Articles

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)

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

CLC Number: