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Coupling an Unstructured NoSQL Database with a Geographic Information System

Authors:
Amandine Holemans
Jean-Paul Kasprzyk
Jean-Paul Donnay

Keywords: Document-Oriented Database; MongoDB; Spatial RDBMS; PostGIS; Spatial Queries, Python.

Abstract:
The management of unstructured NoSQL (Not only Structured Query Language) databases has undergone a great development in the last years mainly thanks to Big Data. Nevertheless, the specificity of spatial information is not purposely taken into account. To overcome this difficulty, we propose to couple a NoSQL database with a spatial Relational Data Base Management System (RDBMS). Exchanges of information between these two systems are illustrated with relevant examples involving spatial queries. The spatial data stored in MongoDB consists of field surveys (points, photos, etc.) and scanned plans, while reference data (cadastre) is recorded in PostGIS. The extensions required to allow this coupling are written in Python.

Pages: 23 to 28

Copyright: Copyright (c) IARIA, 2018

Publication date: March 25, 2018

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-617-0

Location: Rome, Italy

Dates: from March 25, 2018 to March 29, 2018