In the previous chapter, we got introduced to the various types of spatial databases. We created and filled a PostGIS database with vector and raster layers. After that, we learned about the PostgreSQL SQL syntax, and executed some basic queries to get results which were previously only possible with geoalgorithms in QGIS. With our current knowledge, we would be able to integrate PostGIS into our workflow, and create some spatial analysis and visualization tasks using QGIS only as a thin client. That means, PostGIS does the hard lifting, while we only visualize the results in QGIS. However, we are yet to explain how to create good spatial databases with the intent of creating a distributed working environment. In this chapter, we will learn about some of PostgreSQL's and PostGIS's features, which can aid us in creating a stable and well-organized spatial...
United States
Great Britain
India
Germany
France
Canada
Russia
Spain
Brazil
Australia
Singapore
Hungary
Ukraine
Luxembourg
Estonia
Lithuania
South Korea
Turkey
Switzerland
Colombia
Taiwan
Chile
Norway
Ecuador
Indonesia
New Zealand
Cyprus
Denmark
Finland
Poland
Malta
Czechia
Austria
Sweden
Italy
Egypt
Belgium
Portugal
Slovenia
Ireland
Romania
Greece
Argentina
Netherlands
Bulgaria
Latvia
South Africa
Malaysia
Japan
Slovakia
Philippines
Mexico
Thailand