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Geospatial data visualizations
Learn how to visualize geospatial data.
mbrichko
reference
08/11/2024

Geospatial visualizations

[!INCLUDE applies] [!INCLUDE fabric] [!INCLUDE azure-data-explorer] [!INCLUDE monitor] [!INCLUDE sentinel]

Geospatial data can be visualized using the render operator in Kusto Desktop Explorer. To download Kusto Desktop Explorer, see Kusto.Explorer installation and user interface.

:::moniker range="azure-data-explorer" You can also use the Azure Data Explorer web UI.

For more information about visualization options, see Data visualization with Azure Data Explorer. ::: moniker-end

For more information about geospatial clustering, see Geospatial clustering.

Visualize points on a map

You can visualize points either using [Longitude, Latitude] columns, or GeoJSON column. Using a series column is optional. The [Longitude, Latitude] pair defines each point, in that order.

Example: Visualize points on a map

The following example finds storm events and visualizes 100 on a map.

:::moniker range="azure-data-explorer"

[!div class="nextstepaction"] Run the query ::: moniker-end

StormEvents
| take 100
| project BeginLon, BeginLat
| render scatterchart with (kind = map)

:::image type="content" source="media/geo-visualizations/storm-events-sample.png" alt-text="Screenshot of sample storm events on a map.":::

Example: Visualize multiple series of points on a map

The following example visualizes multiple series of points, where the [Longitude, Latitude] pair defines each point, and a third column defines the series. In this example, the series is EventType.

:::moniker range="azure-data-explorer"

[!div class="nextstepaction"] Run the query ::: moniker-end

StormEvents
| take 100
| project BeginLon, BeginLat, EventType
| render scatterchart with (kind = map)

:::image type="content" source="media/geo-visualizations/storm-events-series-sample.png" alt-text="Screenshot of sample storm series events on a map.":::

Example: Visualize series of points on data with multiple columns

The following example visualizes a series of points on a map. If you have multiple columns in the result, you must specify the columns to be used for xcolumn (Longitude), ycolumn (Latitude), and series.

:::moniker range="azure-data-explorer"

[!div class="nextstepaction"] Run the query ::: moniker-end

StormEvents
| take 100
| render scatterchart with (kind = map, xcolumn = BeginLon, ycolumns = BeginLat, series = EventType)

:::image type="content" source="media/geo-visualizations/storm-events-series-sample.png" alt-text="Screenshot of sample storm series events using arguments.":::

Example: Visualize points on a map defined by GeoJSON dynamic values

The following example visualizes points on the map using GeoJSON dynamic values to define the points.

:::moniker range="azure-data-explorer"

[!div class="nextstepaction"] Run the query ::: moniker-end

StormEvents
| project BeginLon, BeginLat
| summarize by hash=geo_point_to_s2cell(BeginLon, BeginLat, 5)
| project geo_s2cell_to_central_point(hash)
| render scatterchart with (kind = map)

:::image type="content" source="media/geo-visualizations/storm-events-s2cell.png" alt-text="Screenshot of sample storm GeoJSON events.":::

Visualization of pies or bubbles on a map

You can visualize pies or bubbles either using [Longitude, Latitude] columns, or GeoJSON column. These visualizations can be created with color or numeric axes.

Example: Visualize pie charts by location

The following example shows storm events aggregated by S2 cell. The chart aggregates events in pie charts by location.

:::moniker range="azure-data-explorer"

[!div class="nextstepaction"] Run the query ::: moniker-end

StormEvents
| project BeginLon, BeginLat, EventType
| where geo_point_in_circle(BeginLon, BeginLat, real(-81.3891), 28.5346, 1000 * 100)
| summarize count() by EventType, hash = geo_point_to_s2cell(BeginLon, BeginLat)
| project geo_s2cell_to_central_point(hash), EventType, count_
| render piechart with (kind = map) // pie map rendering available only in Kusto Explorer desktop

:::image type="content" source="media/geo-visualizations/storm-events-pie.png" alt-text="Screenshot of storm events on a pie map.":::

Example: Visualize bubbles using a color axis

The following example shows storm events aggregated by S2 cell. The chart aggregates events in bubble by location. Since the color-axis ("count") is the same for all events, the render operator generates bubbles.

:::moniker range="azure-data-explorer"

[!div class="nextstepaction"] Run the query ::: moniker-end

StormEvents
| project BeginLon, BeginLat, EventType
| where geo_point_in_circle(BeginLon, BeginLat, real(-81.3891), 28.5346, 1000 * 100)
| summarize count() by EventType, hash = geo_point_to_s2cell(BeginLon, BeginLat)
| project geo_s2cell_to_central_point(hash), count_
| extend Events = "count"
| render piechart with (kind = map) // pie map rendering available only in Kusto Explorer desktop

:::image type="content" source="media/geo-visualizations/storm-events-bubble.png" alt-text="Screenshot of storm events on a bubble map.":::

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