CyberGIS for data-intensive knowledge discovery
CyberGIS for data-intensive knowledge discovery
复制标题
用于数据密集型知识发现的 CyberGIS
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Kiumars Soltani
中科院分区：
文献类型：
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作者：
Shaowen Wang;Hao Hu;Tao Lin;Yan Y. Liu;Anand Padmanabhan;Kiumars Soltani
CyberGIS是一个跨学科的领域，结合了先进的网络基础设施，地理信息科学和系统（GIS），空间分析和建模，以及一些地理空间领域，以提高研究生产力，实现科学突破。它已经成为新一代的GIS，能够在数据驱动的知识发现、可视化和可视化分析以及协作解决问题和决策方面实现协同进步。本文从系统的角度描述了一个先进的cyberGIS软件环境。两个案例研究的重点是阐明BioScope：一个数据驱动和计算密集型的cyberGIS应用程序，用于生物能源供应链优化，和MovePattern：互动和多尺度的视觉分析，用于从Twitter蒸汽应用程序编程接口提取的复杂和大量的运动数据。这些研究表明，网络地理信息系统具有广泛的能力，可以解决空间大数据的种类，速度和数量，从而实现前所未有的数据密集型知识发现。
CyberGIS is an interdisciplinary field combining advanced cyberinfrastructure, geographic information science and systems (GIS), spatial analysis and modeling, and a number of geospatial domains to improve research productivity and enable scientific breakthroughs. It has emerged as a new-generation GIS that enables synergistic advances in data-driven knowledge discovery, visualization and visual analytics, and collaborative problem solving and decision making. This paper describes a cutting-edge cyberGIS software environment from a system perspective. Two case studies focus on elucidating BioScope: a data-driven and computationally intensive cyberGIS application for bioenergy supply chain optimization, and MovePattern: interactive and multi-scale visual analytics for complex and massive movement data extracted from the Twitter steaming application programming interfaces. These studies demonstrate widely accessible capabilities of cyberGIS for resolving the variety, velocity, and volume of spatial big data to enable unprecedented data-intensive knowledge discovery.