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作者:... Juntao Huang , Xiaotian Shao , Dehao Wang
来源:[J].ISPRS International Journal of Geo-Information, 2016, Vol.5 (7)
摘要:This paper addresses how to manage planar spatial data using MongoDB, a popular NoSQL database characterized as a document-oriented, rich query language and high availability. The core idea is to flatten a hierarchical R-tree structure into a tabular MongoDB collection, during wh...
作者:Xiaotian Shao , Dehao Wang
来源:[J].ISPRS International Journal of Geo-Information, 2016, Vol.5 (7)
摘要:This paper addresses how to manage planar spatial data using MongoDB, a popular NoSQL database characterized as a document-oriented, rich query language and high availability. The core idea is to flatten a hierarchical R-tree structure into a tabular MongoDB collection, during wh...
作者:Longgang Xiang , Xiaotian Shao , Dehao Wang
来源:[J].ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016, Vol.XLI-B4, pp.545-549
摘要:Supporting large amounts of spatial data is a significant characteristic of modern databases. However, unlike some mature relational databases, such as Oracle and PostgreSQL, most of current burgeoning NoSQL databases are not well designed for storing geospatial data, which ...

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