Using Spatial Analytics

You can create projects that use spatial data, use spatial views, and use options to populate and analyze spatial columns.

Enabling the Spatial Analytics component
Enabling the Spatial Analytics component for a database supplies that database with the resources it needs to create spatial columns and to work with spatial data.
Creating projects that use spatial data
This procedure describes the steps involved in creating projects that use spatial data.
Determine what coordinate system to use
A first step in planning a project is to determine what coordinate system to use.
Deciding whether to use an existing reference system or create a new system
When you plan a project that uses spatial data, you need to determine whether any of the spatial reference systems available to you can be used for this data. Answering the following series of questions can help you decide whether to use an existing spatial reference system or create a new system.
Creating a spatial reference system
Create a new spatial reference system if none of the predefined spatial reference systems work with your data.
Creating spatial columns
Create spatial columns to store and retrieve spatial data.
Importing spatial data
How you import spatial data into your database depends on the format of the data that is to be imported.
Exporting spatial data to a shapefile
By exporting spatial data, you can make it available in a standard file format to other applications. For example, you can export data to a shapefile, transfer the shapefile to a system hosting a geobrowser, and use the browser to display a visual representation of the data.
Using views to access spatial columns
You can define a view that uses a spatial column in the same way as you define views for other data types.

Parent topic: Db2 Spatial Analytics