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Tile Maps

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Tile Maps

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A tile map displays a geographic area overlaid with circles keyed to the data determined by the buckets you specify.

To use the tile map visualization in Kibana 4.4, you must configure a WMS map server. Select the Options tab, enable the WMS compliant map server option, and specify the URL of the WMS map server you want to use. To use the Elastic Tile Service, upgrade to Kibana 4.5.3+.

The default metrics aggregation for a tile map is the Count aggregation. You can select any of the following aggregations as the metrics aggregation:

Count: The count aggregation returns a raw count of the elements in the selected index pattern.
Average: This aggregation returns the average of a numeric field. Select a field from the drop-down.
Sum: The sum aggregation returns the total sum of a numeric field. Select a field from the drop-down.
Min: The min aggregation returns the minimum value of a numeric field. Select a field from the drop-down.
Max: The max aggregation returns the maximum value of a numeric field. Select a field from the drop-down.
Unique Count: The cardinality aggregation returns the number of unique values in a field. Select a field from the drop-down.

The buckets aggregations determine what information is being retrieved from your data set.

Before you choose a buckets aggregation, specify if you are splitting the chart or displaying the buckets as Geo Coordinates on a single chart. A multiple chart split must run before any other aggregations.

Tile maps use the Geohash aggregation as their initial aggregation. Select a field, typically coordinates, from the drop-down. The Precision slider determines the granularity of the results displayed on the map. See the documentation for the geohash grid aggregation for details on the area specified by each precision level. Kibana supports a maximum geohash length of 7.

Higher precisions increase memory usage for the browser displaying Kibana as well as for the underlying Elasticsearch cluster.

Once you’ve specified a buckets aggregation, you can define sub-aggregations to refine the visualization. Tile maps only support sub-aggregations as split charts. Click + Add Sub Aggregation, then Split Chart to select a sub-aggregation from the list of types:

Date Histogram: A date histogram is built from a numeric field and organized by date. You can specify a time frame for the intervals in seconds, minutes, hours, days, weeks, months, or years. You can also specify a custom interval frame by selecting Custom as the interval and specifying a number and a time unit in the text field. Custom interval time units are s for seconds, m for minutes, h for hours, d for days, w for weeks, and y for years. Different units support different levels of precision, down to one second.
Histogram: A standard histogram is built from a numeric field. Specify an integer interval for this field. Select the Show empty buckets checkbox to include empty intervals in the histogram.
Range: With a range aggregation, you can specify ranges of values for a numeric field. Click Add Range to add a set of range endpoints. Click the red (x) symbol to remove a range. After changing options, click the green Apply changes button to update your visualization, or the grey Discard changes button to keep your visualization in its current state.
Date Range: A date range aggregation reports values that are within a range of dates that you specify. You can specify the ranges for the dates using date math expressions. Click Add Range to add a set of range endpoints. Click the red (/) symbol to remove a range.
IPv4 Range: The IPv4 range aggregation enables you to specify ranges of IPv4 addresses. Click Add Range to add a set of range endpoints. Click the red (/) symbol to remove a range.
Terms: A terms aggregation enables you to specify the top or bottom n elements of a given field to display, ordered by count or a custom metric.
Filters: You can specify a set of filters for the data. You can specify a filter as a query string or in JSON format, just as in the Discover search bar. Click Add Filter to add another filter. Click the label button to open the label field, where you can type in a name to display on the visualization.
Significant Terms: Displays the results of the experimental significant terms aggregation. The value of the Size parameter defines the number of entries this aggregation returns.
Geohash: The geohash aggregation displays points based on the geohash coordinates.

By default, the Change precision on map zoom box is checked. Uncheck the box to disable this behavior.

You can click the Advanced link to display more customization options for your metrics or bucket aggregation:

Exclude Pattern: Specify a pattern in this field to exclude from the results.
Exclude Pattern Flags: A standard set of Java flags for the exclusion pattern.
Include Pattern: Specify a pattern in this field to include in the results.
Include Pattern Flags: A standard set of Java flags for the inclusion pattern.
JSON Input: A text field where you can add specific JSON-formatted properties to merge with the aggregation definition, as in the following example:

{ "script" : "doc['grade'].value * 1.2" }

In Elasticsearch releases 1.4.3 and later, this functionality requires you to enable dynamic Groovy scripting.

The availability of these options varies depending on the aggregation you choose.

Select the Options tab to change the following aspects of the chart:

Map type

Select one of the following options from the drop-down.

Scaled Circle Markers

Scale the size of the markers based on the metric aggregation’s value.

Shaded Circle Markers

Displays the markers with different shades based on the metric aggregation’s value.

Shaded Geohash Grid

Displays the rectangular cells of the geohash grid instead of circular markers, with different shades based on the metric aggregation’s value.

Heatmap

A heat map applies blurring to the circle markers and applies shading based on the amount of overlap. Heatmaps have the following options:

Radius: Sets the size of the individual heatmap dots.
Blur: Sets the amount of blurring for the heatmap dots.
Maximum zoom: Tilemaps in Kibana support 18 zoom levels. This slider defines the maximum zoom level at which the heatmap dots appear at full intensity.
Minimum opacity: Sets the opacity cutoff for the dots.
Show Tooltip: Check this box to have a tooltip with the values for a given dot when the cursor is on that dot.

Desaturate map tiles

Desaturate the map’s color in order to make the markers stand out more clearly.

WMS compliant map server

Check this box to enable the use of a third-party mapping service that complies with the Web Map Service (WMS) standard. Specify the following elements:

WMS url: The URL for the WMS map service.
WMS layers: A comma-separated list of the layers to use in this visualization. Each map server provides its own list of layers.
WMS version: The WMS version used by this map service.
WMS format: The image format used by this map service. The two most common formats are image/png and image/jpeg.
WMS attribution: An optional, user-defined string that identifies the map source. Maps display the attribution string in the lower right corner.
WMS styles: A comma-separated list of the styles to use in this visualization. Each map server provides its own styling options.

After changing options, click the green Apply changes button to update your visualization, or the grey Discard changes button to keep your visualization in its current state.

Navigating the Map

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Once your tilemap visualization is ready, you can explore the map in several ways:

Click and hold anywhere on the map and move the cursor to move the map center. Hold Shift and drag a bounding box across the map to zoom in on the selection.
Click the Zoom In/Out buttons to change the zoom level manually.
Click the Fit Data Bounds button to automatically crop the map boundaries to the geohash buckets that have at least one result.
Click the Latitude/Longitude Filter button, then drag a bounding box across the map, to create a filter for the box coordinates.

Viewing Detailed Information

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To display the raw data behind the visualization, click the bar at the bottom of the container. Tabs with detailed information about the raw data replace the visualization:

TableA representation of the underlying data, presented as a paginated data grid. You can sort the items in the table by clicking on the table headers at the top of each column.

RequestThe raw request used to query the server, presented in JSON format.

ResponseThe raw response from the server, presented in JSON format.

StatisticsA summary of the statistics related to the request and the response, presented as a data grid. The data grid includes the query duration, the request duration, the total number of records found on the server, and the index pattern used to make the query.

To export the raw data behind the visualization as a comma-separated-values (CSV) file, click on either the Raw or Formatted links at the bottom of any of the detailed information tabs. A raw export contains the data as it is stored in Elasticsearch. A formatted export contains the results of any applicable Kibana field formatters.

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