An Experimental Evaluation of Kernel Density Estimation to Choose Categorical Map Colours

Author:

Wu Mingguang1ORCID,Cheng Ziming2ORCID,Cheng Wei3

Affiliation:

1. Key Laboratory of Virtual Geographic Environment of the Ministry of Education, College of Geographic Sciences, State Key Laboratory Cultivation Base of Geographic Environment Evolution (Jiangsu Province), Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, People’s Republic of China

2. Key Laboratory of Virtual Geographic Environment of the Ministry of Education, College of Geographic Sciences, Nanjing Normal University, Nanjing, People’s Republic of China

3. Nanjing NARI Information & Communication Technology Co., Ltd., Nanjing, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Earth-Surface Processes

Reference43 articles.

1. Adobe Color (2023) “Color Wheel a Color Palette Generator” Available at: https://color.adobe.com/zh/create/color-wheel (Accessed: 10th January 2023).

2. Asymptotic optimality of generalized CL, cross-validation, and generalized cross-validation in regression with heteroskedastic errors

3. Bergman L.D. Rogowitz B.E. and Treinish L.A. (1995) A Rule-Based Tool for Assisting Colormap Selection Proceedings of Visualization'95 pp. 118–125.

4. ColorBrewer in Print: A Catalog of Color Schemes for Maps

5. Estimating Probability Surfaces for Geographical Point Data: An Adaptive Kernel Algorithm;Brunsdon C.;Computers & Geosciences,1995

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