A learning-based approach to automatically evaluate the quality of sequential color schemes for maps

Author:

Chen Taisheng123ORCID,Chen Menglin1ORCID,Zhu A-Xing456ORCID,Jiang Weixing2ORCID

Affiliation:

1. Department of Geographic Information Science, School of Geographic Information and Tourism, Chuzhou University, Chuzhou, China

2. Anhui Province Key Laboratory of Physical Geographic Environment, Chuzhou University, Chuzhou, China

3. Anhui Center for Collaborative Innovation in Geographical Information Integration and Application, Chuzhou, China

4. Department of Geography, University of Wisconsin-Madison, Madison, WI, USA

5. Key Laboratory of Virtual Geographic Environment of Ministry of Education, Nanjing Normal University, Nanjing, China

6. Department of Geographic Information Science, College of Geographic Sciences, Nanjing Normal University, Nanjing, China

Funder

National Natural Science Foundation of China

Key Project of Natural Science Research of Anhui Provincial Department of Education

Key Project of Research and Development in Chuzhou Science and Technology Program

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Geography, Planning and Development,Civil and Structural Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics;Cartography and Geographic Information Science;2024-01-16

2. An automatic approach to generating barrier-free qualitative schemes for color vision deficiency;Cartography and Geographic Information Science;2023-06-13

3. Adaptive transfer of color from images to maps and visualizations;Cartography and Geographic Information Science;2021-11-10

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