Abstract
Abstract. As the basis of public geospatial information service, geospatial information data with wide coverage, strong timeliness, rich content and high positioning accuracy is the key infrastructure of geospatial infrastructure for building smart cities and digital China. How to collect and update massive geospatial information resources fast and efficiently has always been the bottleneck for the rapid development of surveying and mapping geospatial information science and technology and industries, and the construction of China's national spatial data infrastructure. At present, the mainstream of geospatial data collecting and updating in China is that the government and enterprise employ professional engineers to for this work, but the problems of professional and complex data processing process, data management level by level, closed and off-line data update mode lead to a relatively slow update rate and poor data actuality, which seriously restricted the applications of geospatial information service in the fields of government decision-making, planning and construction, resource and environment monitoring, and emergency response. The contributions to the geospatial information data from the public community has also been ignored. This paper addresses the issues of low efficiency on data collection and update occurring in China's national geospatial information service platform, proposing a solution for public geospatial data collection and update based on crowdsourcing. The key technologies of data collection, storage, reviews and publication are studied, and the basic technical process of online data update for the government and the public users is designed. In order to verify the effectiveness and practicality of the mode discussed above, a prototype system is developed by expanding China's national geospatial information service platform, which fulfilled data online collection and reviewing, such as POIs, roads, and residential areas. The system can provide new methods and reference ideas for the collection and update of spatial data for the national geospatial information public service platform. It is a useful supplement to the current spatial data collection and update, and has important significances.
Highlights
The term "crowdsourcing" was first published by Jeff Howe in 2006(Howe, 2006), and it is a type of online collaboration activity in which a company or institution process to a group of non-specific individuals to undertake a task voluntarily
Good Child presented Volunteered Geographic Information (VGI) based on crowdsourcing to describe geospatial information released by the public, as opposed to the traditional methods of professional surveying engineers
It is a kind of data with strong timeliness which is different from the traditional surveying and mapping geospatial information data
Summary
The term "crowdsourcing" was first published by Jeff Howe in 2006(Howe, 2006), and it is a type of online collaboration activity in which a company or institution process to a group of non-specific individuals to undertake a task voluntarily. VGI and citizen science is the key of crowdsourcing (Tulloch, 2014) It is a kind of data with strong timeliness which is different from the traditional surveying and mapping geospatial information data. The development of crowdsourcing mode brings new drivers and challenges to the collection and update of surveying and mapping geospatial information data. It provides an entirely new way for data collection and update through the open collaboration mode. The surveying and mapping departments of some countries opened some public geospatial information data to the citizens and updated data with the help of the volunteers. This study focuses on the design and implementation of China's national public geospatial information service platform with the help of crowdsourcing mode
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