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* [Maps] hex bin gridding * remove console.log * disable hexbins for license and geo_shape * fix jest tests * copy cleanup * label * update clusters SVG with hexbins * show as tooltip * documenation updates * copy updates * add API test for hex * test cleanup * eslint * eslint and functional test fixes * eslint, copy updates, and more doc updates * fix i18n error * consolidate isMvt logic * copy review feedback * use 3 stop scale for hexs * jest snapshot updates * Update x-pack/plugins/maps/public/classes/sources/es_geo_grid_source/es_geo_grid_source.tsx Co-authored-by: Nick Peihl <nickpeihl@gmail.com> Co-authored-by: Kibana Machine <42973632+kibanamachine@users.noreply.github.com> Co-authored-by: Nick Peihl <nickpeihl@gmail.com>
53 lines
2.8 KiB
Text
53 lines
2.8 KiB
Text
[role="xpack"]
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[[vector-layer]]
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== Vector layer
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Vector layers display points, lines, and polygons.
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[role="screenshot"]
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image::maps/images/vector_layer.png[]
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To add a vector layer to your map, click *Add layer*, then select one of the following:
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*Choropleth*:: Shaded areas to compare statistics across boundaries.
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*Clusters*:: Geospatial data grouped in grids with metrics for each gridded cell.
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The index must contain at least one field mapped as {ref}/geo-point.html[geo_point] or {ref}/geo-shape.html[geo_shape].
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*Create index*:: Draw shapes on the map and index in Elasticsearch.
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*Documents*:: Points, lines, and polyons from Elasticsearch.
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The index must contain at least one field mapped as {ref}/geo-point.html[geo_point] or {ref}/geo-shape.html[geo_shape].
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+
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Results are limited to the `index.max_result_window` index setting, which defaults to 10000.
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Select the appropriate *Scaling* option for your use case.
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+
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* *Limit results to 10,000* The layer displays features from the first `index.max_result_window` documents.
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Results exceeding `index.max_result_window` are not displayed.
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* *Show clusters when results exceed 10,000* When results exceed `index.max_result_window`, the layer uses {ref}/search-aggregations-bucket-geotilegrid-aggregation.html[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.
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* *Use vector tiles.* Vector tiles partition your map into tiles.
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Each tile request is limited to the `index.max_result_window` index setting.
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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.
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*EMS Boundaries*:: Administrative boundaries from https://www.elastic.co/elastic-maps-service[Elastic Maps Service].
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*ML Anomalies*:: Points and lines associated with anomalies. The {anomaly-job}
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must use a `lat_long` function. Go to
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{ml-docs}/geographic-anomalies.html[Detecting anomalous locations in geographic data] for an example.
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*Point to point*:: Aggregated data paths between the source and destination.
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The index must contain at least 2 fields mapped as {ref}/geo-point.html[geo_point], source and destination.
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*Top hits per entity*:: The layer displays the <<maps-top-hits-aggregation, most relevant documents per entity>>.
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The index must contain at least one field mapped as {ref}/geo-point.html[geo_point] or {ref}/geo-shape.html[geo_shape].
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*Tracks*:: Create lines from points.
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The index must contain at least one field mapped as {ref}/geo-point.html[geo_point].
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*Upload Geojson*:: Index GeoJSON data in Elasticsearch.
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include::vector-style.asciidoc[]
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include::vector-style-properties.asciidoc[]
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include::vector-tooltips.asciidoc[]
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