In SAP Analytics Cloud, geo maps offer the visualization of data on a world map. Geo maps can add a lot of value and context to your data analysis. You can choose from a variety of geographical mapping options to display your regional data, trends, flow, and so much more.
The figure Geo Map Navigation shows the geo map navigation options.
To use the map, enhance a data model with geo dimensions.
The following geo models are supported:
- Local models using a manual upload.
- Models by live data connection using SAP HANA as a datasource.
Geo Enrich Your Data
Before you perform geospatial analysis in stories, you must first import coordinate data and enrich it in the modeler. This process creates a new column in the data view with an enriched format of latitude and longitude coordinates. As a prerequisite, you must have a Microsoft Excel file .xslx or a .csv file with a location ID column that contains unique data, as well as latitude and longitude columns.
Geo maps are created in the modeler using location data. This acts as the foundation for the map in your story. There are two ways to geo enrich your data:
The figure Geo Enrich Data by Coordinates shows how you can enrich your data by coordinates.
You can use map layers and various layer types to create geo maps in your stories.
Shows data as points on the map where you can control the color, opacity, and size of the bubbles.
Heat Map Layer
Uses color to visualize the data density of the selected measure.
Applies blocks of shading to different geographical locations.
Points of Interest Layer
Points of interest are sets of geographical data that can be added to a geo map and analyzed with reference to business data from a model.
Uses external data from valid service URLs. This data is layered on top of your existing geo map to provide additional context.
Shows the connection between two locations, such as shipping routes or flight paths.