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《Geospatial Information》 2018-06
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Research on Crowdsourcing Data Index Method Based on Mongo DB

CAI Wei;  
The crowdsourcing data that serving the smart planning management of small towns have the characteristics of large amount and diverse data types, which determines it is necessary to set up spatiotemporal index to meet the needs of quick retrieval and query. In this paper, we explored the index of the crowdsourcing data based on MongoD B, which was an open source database oriented to document data storage, and further analyzed the methods of geographical spatial index, including B+ tree index, GeoH ash index and multi-level index.
【Fund】: 国家科技支撑计划资助项目(2015BAJ05B00)
【CateGory Index】: TP311.13
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