| Issue |
E3S Web Conf.
Volume 310, 2021
Annual International Scientific Conference “Spatial Data: Science, Research and Technology 2021”
|
|
|---|---|---|
| Article Number | 06001 | |
| Number of page(s) | 9 | |
| Section | General and Special Purpose Cartographic Models. Land and Information Systems. Land Management | |
| DOI | https://doi.org/10.1051/e3sconf/202131006001 | |
| Published online | 15 October 2021 | |
Using a DBMS based on various data models in solving problems of cartography and geoinformatics
1
Siberian State University of Geosystems and Technologies, 630108, Plakhotnogo str., 10, Novosibirsk, Russian Federation
2
Peter the Great St. Petersburg Polytechnic University, 195251, Polytechnicheskaya str., 29, St. Petersburg, Russian Federation
* Corresponding author: alexeykw@yandex.ru
An increasing number of database management systems are expanding their functionality to work with various types of spatial data. This is true for both relational and NoSQL data models. The article describes the main features of those data models for which the functions of storing and processing spatial data are implemented. A comparative analysis of the performance of typical spatial queries for database management systems based on various data models, including multi-model ones, is carried out. The dataset on which the comparison is performed is presented in the form of three blocks of OpenStreetMap vector data for the territory of the Novosibirsk region. Based on the results of the study, recommendations are made on the use of certain data models, depending on the available data and the tasks to be solved.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.