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首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >Crowdsourcing geospatial data
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Crowdsourcing geospatial data

机译：众包地理空间数据

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摘要

In this paper we review recent developments of crowdsourcing geospatial data. While traditional mapping is nearly exclusively coordinated and often also carried out by large organisations, crowdsourcing geospatial data refers to generating a map using informal social networks and web 2.0 technology. Key differences are the fact that users lacking formal training in map making create the geospatial data themselves rather than relying on professional services; that potentially very large user groups collaborate voluntarily and often without financial compensation with the result that at a very low monetary cost open datasets become available and that mapping and change detection occur in real time. This situation is similar to that found in the Open Source software environment.rnWe shortly explain the basic technology needed for crowdsourcing geospatial data, discuss the underlying concepts including quality issues and give some examples for this novel way of generating geospatial data. We also point at applications where alternatives do not exist such as life traffic information systems. Finally we explore the future of crowdsourcing geospatial data and give some concluding remarks.
机译：在本文中，我们回顾了众包地理空间数据的最新发展。尽管传统制图几乎完全由大型组织负责协调，并且通常也由大型组织执行，但将地理空间数据众包化是指使用非正式社交网络和Web 2.0技术生成地图。主要区别在于，用户缺乏对地图制作的正式培训，他们自己创建地理空间数据，而不是依靠专业服务；潜在的非常大的用户组自愿进行协作，并且通常没有经济补偿，结果是以非常低的货币成本可获得公开的数据集，并且实时进行映射和更改检测。这种情况类似于在开源软件环境中发现的情况。我们简短地解释了将地理空间数据众包所需的基本技术，讨论了包括质量问题在内的基本概念，并举例说明了这种新颖的地理空间数据生成方法。我们还指出了不存在替代方案的应用程序，例如生命交通信息系统。最后，我们探索了将地理空间数据众包的未来，并给出了一些结论。

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