[Adamczyk J., Konieczny A., 2010, Rodzaje analiz przestrzennych. In: K. Okła, Geomatyka w Lasach Państwowych – Część I. Podstawy. Warszawa: CILP, 214 pp.]Search in Google Scholar
[Agarwal S., Rajan K.S., 2017, Analyzing the performance of NoSQL vs. SQLdatabases for spatial and aggregate queries. “Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings” Vol. 17, Article 4, Boston.]Search in Google Scholar
[Baralis E., Garza P., Valle A.D., 2017, SQL versus NoSQL Databases for Geospatial Applications. In: IEEE International Conference on Big Data, Boston, IEEE, pp. 3388–3397.10.1109/BigData.2017.8258324]Search in Google Scholar
[Fowler M., Sadalage P.J., 2015, NoSQL. Kompedium wiedzy. Polish transl. J. Hubisz, Gliwice: Helion, pp. 19−36.]Search in Google Scholar
[Gotlib D., 2013, Ogólna koncepcja, cel budowy i zakres informacyjny BDOT10k i BDOO. In: R. Olszewski, D. Gotlib (eds.), Rola bazy danych obiektów topograficznych w tworzeniu infrastruktury informacji przestrzennej w Polsce. Warszawa: GUGiK, pp. 51−57.]Search in Google Scholar
[Harrison G., 2019, NoSQL, NewSQL i BigData. Polish transl. P. Pilch, Gliwice: Helion, pp. 29−32, 58−59, 70−77.]Search in Google Scholar
[Laksano D., 2018, Testing spatial data deliverance in SQL and NoSQL database using NodeJS Full-stack Web App. 4th International Conference on Science and Technology (ICST), Yogyakarta, IEEE.10.1109/ICSTC.2018.8528705]Search in Google Scholar
[Lupa M., Piórkowski A., 2019, The comparison of processing efficiency of spatial data for PostGIS and MongoDB Databases. In: S. Kozielski et al., Beyond databases, architectures and structures. Paving the road to smart data processing and analysis. 15th International Conference, BDAS 2019, Ustroń: Springer International Publishing, pp. 291–302.10.1007/978-3-030-19093-4_22]Search in Google Scholar
[Ullman J.D., Widom J., 2000, Podstawowy wykład z systemów baz danych. Polish transl. M. Jurkiewicz, Warszawa: Wydawnictwo Naukowo-Techniczne, pp. 19−33, 118−122, 168−197.]Search in Google Scholar
[Wyszomirski M., 2018, Przegląd możliwości zastosowania wybranych baz danych NoSQL do zarządzania danymi przestrzennymi. “Roczniki Geomatyki” T. 16, z. 1(80), pp. 55−69.]Search in Google Scholar
[PostGIS Development Group, PostGIS 2.5.4.dev Manual. In: PostGIS Documentation [online], https://postgis.net/docs/manual-2.5/ (access August 2019).]Search in Google Scholar
[pgAdmin Development Team, Features. In: pgAdmin homepage [online], https://www.pgadmin.org/features/ (access August 2019).]Search in Google Scholar
[MongoDB Inc., GeoJSON Objects. In: MongoDB Documentation [online], https://docs.mongodb.com/manual/reference/geojson/ (access September 2019).]Search in Google Scholar
[OSGeo, QGIS – wiodący otwartoźródłowy system GIS. In: Official QGIS project website, https://qgis.org/pl/site/about/index.html (access August 2019).]Search in Google Scholar
[Python Software Foundation, General Python FAQ, 2010. In: Python Documentation, https://docs.python.org/3/faq/general.html (access August 2019).]Search in Google Scholar
[MongoDB Inc., Geospatial Queries. In: MongoDB Documentation [online], https://docs.mongodb.com/manual/geospatial-queries/ (access August 2019a).]Search in Google Scholar
[PostGIS Development Group, PostGIS Reference. In: PostGIS Documentation [online], https://postgis.net/docs/reference.html (access August 2019).]Search in Google Scholar
[MongoDB Inc., Database Profiler. In: MongoDB Documentation [online], https://docs.mongodb.com/manual/tutorial/manage-the-database-profiler/ (access August 2019b).]Search in Google Scholar