Enhance Your Analysis with Geospatial and Temporal Context

For some types of analysis, it is essential to consider the context of space and time. Geospatial analysis allows you to visualize data in its relevant location, providing a more comprehensive understanding of the data. Temporal analysis, on the other hand, shows how data changes over time, helping you to explore trends and patterns.

By incorporating both geospatial and temporal context into your analysis, you can gain a deeper understanding of your data and make more informed decisions. GraphAware Hume is a powerful tool that can help you easily incorporate these types of context into your analysis, making it easier to uncover valuable insights.

Benefits of Geospatial and Temporal Analysis

  • Utilize native Neo4j geospatial attributes to visualize data on a map: This allows you to easily see the spatial context of your data and better understand its relevance.

  • Configure map visibility using the schema: With GraphAware Hume schema configuration, you can customize which data is displayed on the map and how it is displayed.

  • Group nodes by proximity with clustering: Clustering helps you to visualize large amounts of data by grouping nodes that are close together, making it easier to see patterns and trends.

  • Automatically refresh data layers to retrieve relevant data as context changes: GraphAware Hume automatic data refresh feature ensures that you are always working with the most current data, helping you to stay up to date and informed.

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Feature Building Blocks


Analyse data in its location on a map. The geographical position enables intuitive analysis and uncovers insights that cannot be gained without this context.


See how data change through time. The temporal context of data can uncover trends and patterns that otherwise stay hidden.

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