Cartographic representation of spatio-temporal data: fundamental issues and research progress

doi:10.11947/j.AGCS.2021.20210072

Abstract

Abstract: Big spatio-temporal data bring about unprecedented challenges to cartographic representation. Through analysis of the main characteristics of spatio-temporal data and consequent requirements on cartographic presentation, we believe that the fundamental issues on the cartographic representation of spatio-temporal data include the mathematicization of fundamental theories, quantitative optimization of cartographic design, on-demand adaptive representation methodology, modeled quality prediction, and ubiquitous mapping applications. Then, a brief review of these issues are carried out under headings:progress in mathematicization of fundamental theories, progress in methodological development, and progress in ubiquitous mapping applications. Finally, an outlook is also presented.

Key words: cartographic representation of spatio-temporal data, mathematicization of cartographic fundamental theories, quantitative optimization of cartographic design, on-demand adaptive representation, modeled quality prediction, ubiquitous mapping applications

CLC Number:

P227

LI Zhilin, LIU Wanzeng, XU Zhu, TI Peng, GAO Peichao, YAN Chaode, LIN Yan, LI Ran, LU Chenni. Cartographic representation of spatio-temporal data: fundamental issues and research progress[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(8): 1033-1048.

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