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Vector layer

Serverless

Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

Serverless interfaces and procedures might differ from classic Elastic Stack deployments.

Stack

The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.

Vector layers display points, lines, and polygons.

vector layer
vector layer

To add a vector layer to your map, click Add layer, then select one of the following:

Choropleth
Shaded areas to compare statistics across boundaries.
Clusters
Geospatial data grouped in grids with metrics for each gridded cell. The index must contain at least one field mapped as geo_point or geo_shape.
Create index
Draw shapes on the map and index in Elasticsearch.
Documents

Points, lines, and polyons from Elasticsearch. The index must contain at least one field mapped as geo_point or geo_shape.

Results are limited to the index.max_result_window index setting, which defaults to 10000. Select the appropriate Scaling option for your use case.

  • Limit results to 10,000 The layer displays features from the first index.max_result_window documents. Results exceeding index.max_result_window are not displayed.
  • Show clusters when results exceed 10,000 When results exceed index.max_result_window, the layer uses GeoTile grid aggregation to group your documents into clusters and displays metrics for each cluster. When results are less then index.max_result_window, the layer displays features from individual documents.
  • Use vector tiles. Vector tiles partition your map into tiles. Each tile request is limited to the index.max_result_window index setting. When a tile exceeds index.max_result_window, results exceeding index.max_result_window are not contained in the tile and a dashed rectangle outlining the bounding box containing all geo values within the tile is displayed.
EMS Boundaries
Administrative boundaries from Elastic Maps Service.
ML Anomalies
Points and lines associated with anomalies. The anomaly detection job must use a lat_long function. Go to Detecting anomalous locations in geographic data for an example.
Point to point
Aggregated data paths between the source and destination. The index must contain at least 2 fields mapped as geo_point, source and destination.
Top hits per entity
The layer displays the most relevant documents per entity. The index must contain at least one field mapped as geo_point or geo_shape.
Tracks
Create lines from points. The index must contain at least one field mapped as geo_point.
Upload Geojson

Index GeoJSON data in Elasticsearch.