众包环境下的参与式地理信息系统,特别提到志愿地理信息

IF 1.3 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Mulalu I. Mulalu
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引用次数: 1

摘要

地理信息系统(GIS)本质上关注的是确定特征的位置并将数据附加到它们上。这些地理数据随后用于空间分析,通过探索性数据分析和各种替代解决方案的实验,作为支持问题分析和解决方案建模的手段。地理信息系统最终用于知情决策。随着支持参与的技术的出现,数字地图、全球定位系统(GPS)、互联网、Web地图、Web GIS、Web 2.0和Web 3.0技术以及智能手机,世界各地的许多人都有能力收集和交流带有地理标记的多媒体信息,这种现象被称为众包。众包的一个例子是将志愿者收集的带有地理标签的信息整合到GIS中。因此,众包使PGIS成为一种强大的实践,可以利用它在广泛的景观中收集地理数据,并且通常是近实时的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Participatory Geographic Information Systems Within a Crowdsourcing Environment, With Special Reference to Volunteered Geographic Information
Geographic Information Systems (GIS) are essentially concerned with fixing locations of features and attaching data to them. This geographic data is subsequently used in spatial analysis as a means to support problem analysis and solution modeling through exploratory data analysis and experimentation with various alternative solutions. Ultimately GIS is used for informed decision making. With the advent of technologies that support participation, digital mapping, Global Positioning System (GPS), the internet, Web Mapping, Web GIS, Web 2.0 and Web 3.0 technologies and smart phones, many people all over the world have become capacitated to collect and communicate geo-tagged multimedia information, a phenomenon that is known as crowdsourcing. One example of crowdsourcing is incorporating geotagged information collected by volunteers into a GIS. Consequently, crowdsourcing facilitates PGIS to become a powerful practice that can be leveraged to collect geographic data over extensive landscapes and often in near real time.
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来源期刊
International Journal of Agricultural and Environmental Information Systems
International Journal of Agricultural and Environmental Information Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.70
自引率
0.00%
发文量
10
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