[en] 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.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Holemans, Amandine
Kasprzyk, Jean-Paul ; Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie
Donnay, Jean-Paul ; Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Cartographie et S.I.G.
Language :
English
Title :
Coupling an Unstructured NoSQL Database with a Geographic Information System
Alternative titles :
[fr] Couplage d'une base de données non structurée NoSQL avec un Système d'Information Géographique
Publication date :
March 2018
Event name :
GEOProcessing 2018 : The Tenth International Conference on Advanced Geographic Information Systems, Applications, and Services
Event organizer :
IARIA
Event place :
Rome, Italy
Event date :
25-29 mars 2018
Audience :
International
Main work title :
GEOProcessing 2018. The Tenth International Conference on Advanced Geographic Information
Main work alternative title :
[en] GeoProcessing 2018. 10e Conférence Internationale sur les Systèmes d'Information Géographiques Avancés,Applications et Services
