114 lines
6.1 KiB
Plaintext
114 lines
6.1 KiB
Plaintext
[[tilemap]]
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== Coordinate Maps
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A coordinate map displays a geographic area overlaid with circles keyed to the data determined by the buckets you specify.
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NOTE: By default, Kibana uses the https://www.elastic.co/elastic-maps-service[Elastic Maps Service]
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to display map tiles. To use other tile service providers, configure the <<tilemap-settings,tilemap settings>>
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in `kibana.yml`.
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=== Configuration
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==== Data
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===== Metrics
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The default _metrics_ aggregation for a coordinate map is the *Count* aggregation. You can select any of the following
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aggregations as the metrics aggregation:
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*Count*:: The {ref}/search-aggregations-metrics-valuecount-aggregation.html[_count_] aggregation returns a raw count of
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the elements in the selected index pattern.
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*Average*:: This aggregation returns the {ref}/search-aggregations-metrics-avg-aggregation.html[_average_] of a numeric
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field. Select a field from the drop-down.
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*Sum*:: The {ref}/search-aggregations-metrics-sum-aggregation.html[_sum_] aggregation returns the total sum of a numeric
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field. Select a field from the drop-down.
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*Min*:: The {ref}/search-aggregations-metrics-min-aggregation.html[_min_] aggregation returns the minimum value of a
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numeric field. Select a field from the drop-down.
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*Max*:: The {ref}/search-aggregations-metrics-max-aggregation.html[_max_] aggregation returns the maximum value of a
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numeric field. Select a field from the drop-down.
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*Unique Count*:: The {ref}/search-aggregations-metrics-cardinality-aggregation.html[_cardinality_] aggregation returns
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the number of unique values in a field. Select a field from the drop-down.
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Enter a string in the *Custom Label* field to change the display label.
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===== Buckets
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Coordinate maps use the {ref}/search-aggregations-bucket-geohashgrid-aggregation.html[_geohash_] aggregation. Select a field, typically coordinates, from the
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drop-down.
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- The_Change precision on map zoom_ box is checked by default. Uncheck the box to disable this behavior.
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The _Precision_ slider determines the granularity of the results displayed on the map. See the documentation
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for the {ref}/search-aggregations-bucket-geohashgrid-aggregation.html#_cell_dimensions_at_the_equator[geohash grid]
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aggregation for details on the area specified by each precision level.
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NOTE: Higher precisions increase memory usage for the browser displaying Kibana as well as for the underlying
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Elasticsearch cluster.
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- The _place markers off grid (use {ref}/search-aggregations-metrics-geocentroid-aggregation.html[geocentroid])_ box is checked by default. When this box is checked, the markers are
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placed in the center of all the documents in that bucket. When unchecked, the markers are placed in the center
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of the geohash grid cell. Leaving this checked generally results in a more accurate visualization.
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Enter a string in the *Custom Label* field to change the display label.
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You can click the *Advanced* link to display more customization options for your metrics or bucket aggregation:
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*Exclude Pattern*:: Specify a pattern in this field to exclude from the results.
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*Include Pattern*:: Specify a pattern in this field to include in the results.
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*JSON Input*:: A text field where you can add specific JSON-formatted properties to merge with the aggregation
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definition, as in the following example:
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[source,shell]
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{ "script" : "doc['grade'].value * 1.2" }
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NOTE: In Elasticsearch releases 1.4.3 and later, this functionality requires you to enable
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{ref}/modules-scripting.html[dynamic Groovy scripting].
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The availability of these options varies depending on the aggregation you choose.
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==== Options
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*Map type*:: Select one of the following options from the drop-down.
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*_Scaled Circle Markers_*:: Scale the size of the markers based on the metric aggregation's value.
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*_Shaded Circle Markers_*:: Displays the markers with different shades based on the metric aggregation's value.
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*_Shaded Geohash Grid_*:: Displays the rectangular cells of the geohash grid instead of circular markers, with different
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shades based on the metric aggregation's value.
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*_Heatmap_*:: A heat map applies blurring to the circle markers and applies shading based on the amount of overlap.
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Heatmaps have the following options:
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* *Cluster size*: Adjust the size of the heatmap clustering.
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* *Show Tooltip*: Check this box to have a tooltip with the values for a given dot when the cursor is on that dot.
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*Desaturate map tiles*:: Desaturate the map's color in order to make the markers stand out more clearly.
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*WMS compliant map server*:: Check this box to enable the use of a third-party mapping service that complies with the Web
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Map Service (WMS) standard. Specify the following elements:
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* *WMS url*: The URL for the WMS map service.
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* *WMS layers*: A comma-separated list of the layers to use in this visualization. Each map server provides its own list of
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layers.
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* *WMS version*: The WMS version used by this map service.
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* *WMS format*: The image format used by this map service. The two most common formats are `image/png` and `image/jpeg`.
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* *WMS attribution*: An optional, user-defined string that identifies the map source. Maps display the attribution string
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in the lower right corner.
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* *WMS styles*: A comma-separated list of the styles to use in this visualization. Each map server provides its own styling
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options.
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After changing options, click the *Apply changes* button to update your visualization, or the grey *Discard
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changes* button to keep your visualization in its current state.
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[float]
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[[navigating-map]]
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=== Navigating the Map
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Once your tilemap visualization is ready, you can explore the map in several ways:
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* Click and hold anywhere on the map and move the cursor to move the map center. Hold Shift and drag a bounding box
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across the map to zoom in on the selection.
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* Click the *Zoom In/Out* image:images/viz-zoom.png[] buttons to change the zoom level manually.
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* Click the *Fit Data Bounds* image:images/viz-fit-bounds.png[] button to automatically crop the map boundaries to the
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geohash buckets that have at least one result.
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* Click the *Latitude/Longitude Filter* image:images/viz-lat-long-filter.png[] button, then drag a bounding box across the
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map, to create a filter for the box coordinates.
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