Research challenges and opportunities in mapping social media and Big Data

被引：0

作者：

Tsou, Ming-Hsiang ^{[1
]}

机构：

[1] Center for Human Dynamics in the Mobile Age, Geography Department, San Diego State University, 5500 Campanile Drive, San Diego, 92182-4493, CA

来源：

Cartography and Geographic Information Science | 2015年 / 42卷

基金：

美国国家科学基金会;

关键词：

Big Data; cartography; social media; spatiotemporal;

D O I：

10.1080/15230406.2015.1059251

中图分类号：

学科分类号：

摘要：

Social media and Big Data have transformed our world into interconnected cyberspace and realspace. Cartographers can now trace, monitor, and map the spread of social movements, disease outbreaks, nature hazards, and popular events by digitally collecting social media and Big Data with locational contents, such as global positioning system tags and user location profiles. The dynamic characteristics of social media and Big Data provide a great research opportunity for cartographers to map and analyze human behaviors, communications, and movements. However, there are many challenges and pitfalls in cartographic research associated with spatiotemporal analysis of social media contents and Big Data. This short paper will address important research challenges and major opportunities for cartographers to process and visualize Big Data and social media. © 2015 Cartography and Geographic Information Society.

引用

页码：70 / 74

页数：4

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