About Map Visualizations and Spatial Data

You can use map visualizations to analyze data in a geographic or spatial context. Maps help you compare values across locations, identify geographic patterns, show density or clustering, and visualize relationships between places.

In Oracle Analytics, you can create map visualizations from spatial data—data that identifies a location, area, shape, route, or position. This data can come from common geographic columns such as country, region, state, city, postal code, address, or latitude and longitude. It can also come from custom map layers, GeoJSON files, vector layers, or shapes drawn on an uploaded image, allowing you to work with organization-specific boundaries, floor plans, routes, or other spatial layouts.

You can use map visualizations to do things like:

• Show measures by location, such as sales by city or revenue by country.
• Compare regions using color, size, labels, or outlines.
• Display multiple geographic layers in the same visualization.
• Show dense concentrations of points using heatmap or cluster layers.
• Connect origins and destinations using dynamic line layers.
• Use custom shapes, GeoJSON files, vector layers, or image backgrounds for specialized spatial analysis.

To create a map visualization, select a location-related column and choose Map as the visualization type. Oracle Analytics automatically creates a map layer and attempts to match the location data to an appropriate map layer.