Abstract

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。

Alternate 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.

Details

Title
时空数据地图表达的基本问题与研究进展
Author
李志林; 刘万增; 徐柱; 遆鹏; 高培超; 闫超德; 林艳; 李然; 陆辰妮
Pages
1033-1048
Section
Smart Surveying and Mapping
Publication year
2021
Publication date
Aug 2021
Publisher
Surveying and Mapping Press
ISSN
10011595
Source type
Scholarly Journal
Language of publication
English; Chinese
ProQuest document ID
2582196724
Copyright
© Aug 2021. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.