Geospatial Analytics

Dataiku DSS provides a number of tools to assist with tasks for geospatial analytics. This includes:

• A simple drag and drop interface for creating interactive maps;

• Visual processors for common spatial data preparation tasks, such as creating GeoPoints;

• The ability to work with various geospatial data formats, such as shapefiles;

• Integration with programming languages like Python, R and SQL for using libraries like PostGIS;

• Visual or code interface for building machine learning models, including those built on on geospatial data.

The following articles provide a hands-on introduction to many of these geospatial features in DSS.

Tip

You can also find this material in a course on Geospatial Analytics in the Dataiku Academy.

Articles

• Creating Maps in Dataiku DSS without Code
• Geographic Processing with Dataiku DSS
• Working with Shapefiles and US Census Data in DSS