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[[tilemap]] | ||
== Coordinate map | ||
[[visualize-maps]] | ||
== Maps | ||
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Coordinate maps display geographic areas overlaid with circles keyed to the data determined by the buckets you specify. To use coordinate maps, you plot latitude and longitude coordinates. | ||
To tell a story and answer questions about your geographical data, you can create several types of interactive maps with Visualize. | ||
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NOTE: Coordinate maps have been replaced with <<maps>>, which offers more functionality and is easier to use. | ||
Visualize supports the following maps: | ||
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To create coordinate maps in Visualize: | ||
* *Coordinate* — Display latitude and longitude coordinates that are associated to the specified bucket aggregation. | ||
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* Set `xpack.maps.showMapVisualizationTypes` to `true`. | ||
* *Region* — Display colored boundary vector shapes using a gradient. Darker colors indicate larger values, and lighter colors indicate smaller values. | ||
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* *Heat* — Display graphical representations of data where the individual values are represented by colors. | ||
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* To display map tiles, {kib} uses the https://www.elastic.co/elastic-maps-service[Elastic Maps Service]. | ||
To use other tile service providers, configure the <<tilemap-settings,tilemap settings>> | ||
in `kibana.yml`. | ||
NOTE: The maps in Visualize have been replaced with <<maps>>, which offers more functionality. | ||
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[float] | ||
[[coordinate-map-aggregation]] | ||
=== Supported aggregations | ||
[[coordinate-map]] | ||
=== Coordinate map | ||
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Use a coordinate map when your data set includes latitude and longitude values. For example, use a coordinate map to see the varying popularity of destination airports using the sample flight data. | ||
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[role="screenshot"] | ||
image::images/visualize_coordinate_map_example.png[] | ||
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[float] | ||
[[build-coordinate-map]] | ||
==== Build a coordinate map | ||
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Configure the `kibana.yml` settings and add the aggregations. | ||
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Coordinate maps support the following aggregations: | ||
. Configure the following `kibana.yml` settings: | ||
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* Set `xpack.maps.showMapVisualizationTypes` to `true`. | ||
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* To use a tile service provider for coordinate maps other than https://www.elastic.co/elastic-maps-service[Elastic Maps Service], configure the <<tilemap-settings,tilemap settings>>. | ||
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. To display your data on the coordinate map, use the following aggregations: | ||
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* <<visualize-metric-aggregations,Metric>> | ||
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* <<visualize-bucket-aggregations,Geohash Bucket aggregation>> | ||
* <<visualize-bucket-aggregations,Geohash bucket aggregation>> | ||
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When you deselect *Change precision on map zoom*, the *Precision* slider appears. The *Precision* slider determines the granularity of the results displayed on the map. For details on the area specified by each precision level, refer to {ref}/search-aggregations-bucket-geohashgrid-aggregation.html#_cell_dimensions_at_the_equator[geohash grid]. | ||
. Specify the geohash bucket aggregation options: | ||
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* *Precision* slider — Determines the granularity of the results displayed on the map. To show the *Precision* slider, deselect *Change precision on map zoom*. For information on the area specified by each precision level, refer to {ref}/search-aggregations-bucket-geohashgrid-aggregation.html#_cell_dimensions_at_the_equator[geohash grid]. | ||
+ | ||
NOTE: Higher precisions increase memory usage for the browser that displays {kib} and the underlying | ||
{es} cluster. | ||
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When you select *Place markers off grid (use {ref}/search-aggregations-metrics-geocentroid-aggregation.html[geocentroid])*, the markers are | ||
placed in the center of all documents in the bucket, and a more accurate visualization is created. | ||
NOTE: When you have multiple values in the geo_point, the coordinate map is unable to accurately calculate the geo_centroid. | ||
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When you deselect *Place markers off grid (use {ref}/search-aggregations-metrics-geocentroid-aggregation.html[geocentroid])*, the markers are placed in the center | ||
* *Place markers off grid (use {ref}/search-aggregations-metrics-geocentroid-aggregation.html[geocentroid])* — When you selected, the markers are | ||
placed in the center of all documents in the bucket, and a more accurate visualization is created. When deselected, the markers are placed in the center | ||
of the geohash grid cell. | ||
+ | ||
NOTE: When you have multiple values in the geo_point, the coordinate map is unable to accurately calculate the geo_centroid. | ||
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[float] | ||
[[navigate-map]] | ||
=== Navigate the coordinate map | ||
[[navigate-coordinate-map]] | ||
==== Navigate the coordinate map | ||
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Use the following navigation options: | ||
To navigate the coordinate map, use the navigation options. | ||
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* To move the map center, click and hold anywhere on the map and move the cursor. | ||
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* To change the zoom level, click *Zoom In* or *Zoom out* image:images/viz-zoom.png[]. | ||
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* To automatically crop the map boundaries to the | ||
geohash buckets that have at least one result, click *Fit Data Bounds* image:images/viz-fit-bounds.png[]. | ||
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[float] | ||
[[region-map]] | ||
=== Region map | ||
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Use region maps when you want to show statistical data on a geographic area, such as a county, country, province, or state. For example, use a region map if you want to see the average sales for each country with the sample eCommerce order data. | ||
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[role="screenshot"] | ||
image::images/visualize_region_map_example.png[] | ||
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[float] | ||
[[build-region-maps]] | ||
==== Build a region map | ||
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Configure the `kibana.yml` settings and add the aggregations. | ||
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. In `kibana.yml`, set `xpack.maps.showMapVisualizationTypes` to `true`. | ||
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. To display your data on the region map, use the following aggregations: | ||
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* <<visualize-metric-aggregations,Metric>> | ||
* <<visualize-sibling-pipeline-aggregations,Sibling pipeline>> | ||
* <<visualize-bucket-aggregations,Terms bucket aggregation>> | ||
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[float] | ||
[[navigate-region-map]] | ||
==== Navigate the region map | ||
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To navigate the region map, use the navigation options. | ||
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* To change the zoom level, click *Zoom In* or *Zoom out* image:images/viz-zoom.png[]. | ||
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* To automatically crop the map boundaries, click *Fit Data Bounds* image:images/viz-fit-bounds.png[]. | ||
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[float] | ||
[[heat-map]] | ||
=== Heat map | ||
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Use heat maps when your data set includes categorical data. For example, use a heat map to see the flights of origin countries compared to destination countries using the sample flight data. | ||
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[role="screenshot"] | ||
image::images/visualize_heat_map_example.png[] | ||
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[float] | ||
[[build-heat-map]] | ||
==== Build a heat map | ||
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To display your data on the heat map, use the supported aggregations. | ||
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Heat maps support the following aggregations: | ||
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* <<visualize-metric-aggregations,Metric>> | ||
* <<visualize-parent-pipeline-aggregations,Parent pipeline>> | ||
* <<visualize-sibling-pipeline-aggregations,Sibling pipeline>> | ||
* <<visualize-bucket-aggregations,Bucket>> | ||
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[float] | ||
[[navigate-heatmap]] | ||
==== Change the color ranges | ||
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When only one color displays on the heat map, you might need to change the color ranges. | ||
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To specify the number of color ranges: | ||
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. Click *Options*. | ||
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. Enter the *Number of colors* to display. | ||
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To specify custom ranges: | ||
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. Click *Options*. | ||
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. Select *Use custom ranges*. | ||
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. Enter the ranges to display. |
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