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As OpenSearch Maps user, i should be able to reduce points/shapes in an index by grouping them into clusters based on proximity to one another. If large number of points/shapes are very close to each other, it is very hard to know the accurate count of points/shapes. It could be deceptive. Hence, Clustering allows users to visually show those large dataset in concise way in small areas.
What solution would you like?
Maps should support a new layer called "Cluster layer" which can aggregate all points/shapes from an index using geospatial aggregations (metric/bucket).
What alternatives have you considered?
N/A
Do you have any additional context?
A/A
Example of cluster layer output
The text was updated successfully, but these errors were encountered:
@vamshin I'm writing the end user documentation for this feature. Will you share the feature brief and demo with me? Alternatively, I can set up a meeting with you to review this feature. Please let me know. Thank you, Melissa
Is your feature request related to a problem?
As OpenSearch Maps user, i should be able to reduce points/shapes in an index by grouping them into clusters based on proximity to one another. If large number of points/shapes are very close to each other, it is very hard to know the accurate count of points/shapes. It could be deceptive. Hence, Clustering allows users to visually show those large dataset in concise way in small areas.
What solution would you like?
Maps should support a new layer called "Cluster layer" which can aggregate all points/shapes from an index using geospatial aggregations (metric/bucket).
What alternatives have you considered?
N/A
Do you have any additional context?
A/A
Example of cluster layer output
The text was updated successfully, but these errors were encountered: