*Ready to get started?* Watch the https://videos.elastic.co/watch/BYzRDtH4u7RSD8wKhuEW1b[video], and then start your tour of **Maps** with the <<maps-getting-started, getting started tutorial>>.
Use multiple layers and indices to show all your data in a single map. Show how data sits relative to physical features like weather patterns, human-made features like international borders, and business-specific features like sales regions. Plot individual documents or use aggregations to plot any data set, no matter how large.
Data comes to life with animation. Hard to detect patterns in static data pop out with movement. Use time slider to animate your data and gain deeper insights.
This animated map uses the time slider to show Portland buses over a period of 15 minutes. The routes come alive as the bus locations update with time.
Viewing data from different angles provides better insights. Dimensions that are obscured in one visualization might be illuminated in another. Add your map to a dashboard and view your geospatial data alongside bar charts, pie charts, tag clouds, and more.
This choropleth map shows the density of non-emergency service requests in San Diego by council district. The map is embedded in a dashboard, so users can better understand when services are requested and gain insight into the top requested services.
Customize each layer to highlight meaningful dimensions in your data. For example, use dark colors to symbolize areas with more web log traffic, and lighter colors to symbolize areas with less traffic.
Search across the layers in your map to focus in on just the data you want. Combine free text search with field-based search using the <<kuery-query,{kib} Query Language>>. Set the time filter to restrict layers by time. Draw a polygon on the map or use the shape from features to create spatial filters. Filter individual layers to compares facets.