时空数据地图表达的基本问题与研究进展

doi:10.11947/j.AGCS.2021.20210072

测绘学报 ›› 2021, Vol. 50 ›› Issue (8): 1033-1048.doi: 10.11947/j.AGCS.2021.20210072

时空数据地图表达的基本问题与研究进展

李志林^1,2, 刘万增³, 徐柱¹, 遆鹏¹, 高培超⁴, 闫超德⁵, 林艳⁶, 李然³, 陆辰妮³

1. 西南交通大学地学学院及高铁运营安全空间信息技术国家地方联合实验室, 四川成都 611756;
2. 香港理工大学土地测量与地理资讯学系, 香港 999077;
3. 国家基础地理信息中心, 北京 100830;
4. 北京师范大学地理科学学部, 北京 100088;
5. 郑州大学水利科学与工程学院, 河南郑州 450001;
6. 中国人民公安大学警务信息工程学院, 北京 102600

收稿日期:2021-02-04 修回日期:2021-07-01 发布日期:2021-08-24
通讯作者: 刘万增 E-mail:luwnzg@163.com
作者简介:李志林(1960-),男,博士,教授,研究方向为制图学、GIS、遥感影像处理。
基金资助:
自然科学基金（41930104；41971330；41671455）；国家重点研发计划课题（2018YFC0807005）

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

LI Zhilin^1,2, LIU Wanzeng³, XU Zhu¹, TI Peng¹, GAO Peichao⁴, YAN Chaode⁵, LIN Yan⁶, LI Ran³, LU Chenni³

1. Faculty of Geosciences & State-Province Joint Engineering Laboratory of Spatial Information Technology for High-speed Railway Safety, Southwest Jiaotong University, Chengdu 611756, China;
2. Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University, Hong Kong 999077, China;
3. National Geomatics Center of China, Beijing 100830, China;
4. School of Geographical Science, Beijing Normal University, Beijing 100088, China;
5. School of Water Conservancy Science and Engineering, Zhengzhou University, Zhengzhou 450001, China;
6. School of Police Information Engineering, Chinese People's Public Security University, Beijing 102600, China

Received:2021-02-04 Revised:2021-07-01 Published:2021-08-24
Supported by:
The National Natural Science Foundation of China (Nos. 41930104;41971330;41671455);The National Key Research and Development Program of China (No.2018YFC0807005)

摘要/Abstract

摘要： 海量时空大数据推动着地图制图的发展，同时也对时空大数据的地图表达提出了前所未有的挑战。本文通过分析时空数据的特性及其对地图表达的新需求，将时空数据地图表达面临的突出问题概括为基础理论数学化、地图设计定量化、地图表达自适化、质量预测模型化和制图应用泛在化。然后将这些问题归纳成3组，即地图制图基础理论、地图设计与可视化方法、泛在地图服务，并对相关研究进展进行综述与分析，并给出一些展望。

关键词: 时空大数据地图表达, 地图基础理论数学化, 地图设计定量化, 地图表达自适化, 质量预测模型化, 制图应用泛在化

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

中图分类号:

P227

李志林, 刘万增, 徐柱, 遆鹏, 高培超, 闫超德, 林艳, 李然, 陆辰妮. 时空数据地图表达的基本问题与研究进展[J]. 测绘学报, 2021, 50(8): 1033-1048.

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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时空数据地图表达的基本问题与研究进展

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

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