GIS and urban data science

IF 2.7 Q1 GEOGRAPHY
Yijing Li, Qunshan Zhao, Chen Zhong
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引用次数: 1

Abstract

ABSTRACT With the emergence of new forms of geospatial/urban big data and advanced spatial analytics and machine learning methods, new patterns and phenomena can be explored and discovered in our cities and societies. In this special issue, we presented an overview of nine studies to understand how to use urban data science and GIS in healthcare services, hospitality and safety, transportation and mobility, economy, urban planning, higher education, and natural disasters, spreading across developed countries in North America and Europe, as well as Global South areas in Asia and the Middle East. The embrace of diverse geo-computational methods in this special issue brings forward an outlook to future GIS and Urban Data Science towards more advanced computational capability, global vision and urban-focused research.
GIS与城市数据科学
随着地理空间/城市大数据新形式以及先进的空间分析和机器学习方法的出现,我们可以在城市和社会中探索和发现新的模式和现象。在本期特刊中,我们概述了九项研究,以了解如何在医疗保健服务、酒店和安全、交通和流动性、经济、城市规划、高等教育和自然灾害中使用城市数据科学和地理信息系统,这些研究遍及北美和欧洲的发达国家,以及亚洲和中东的全球南方地区。在这期特刊中,各种地理计算方法的拥抱为未来的GIS和城市数据科学提供了更先进的计算能力、全球视野和以城市为中心的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annals of GIS
Annals of GIS Multiple-
CiteScore
8.30
自引率
2.00%
发文量
31
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