Geospatial and Temporal Analysis in Hume

For some types of analysis, data must be seen within geographic or temporal contexts. Geospatial analysis displays data in relevant locations and temporal analysis reveals data changing over time. Combined, they answer the “where and when” that can drive action for mission-critical solutions.

Depending on the use case, both features can be combined or used separately. Hume Visualisations offers users the flexibility to enable and disable both features during analysis.

Benefits of Geospatial and Temporal Analysis

  • Harness native Neo4j geospatial attributes to display nodes on the map.

  • Use the schema to configure the map visibility.

  • Cluster nodes by proximity.

  • Auto refresh data layers on context change to retrieve relevant data.

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Feature Building Blocks

Maps

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

Timeline

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

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What to expect:

  • A brief introduction to focus on your organisation's unique needs and requirements.
  • A live demo of Hume tailored to your specific project or domain
  • Zero commitment

Ready to try Hume after the demo?

  • Get access to a free, full-featured trial of Hume on your infrastructure all with the support of our engineers
  • Fine tune your experience and launch to production