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In this article
Applies to: ✅ Azure Data Explorer ✅ Azure Monitor ✅ Microsoft Sentinel
Calculates polygon or multipolygon that contains all points within the given radius of the input line or multiline on Earth.
geo_line_buffer(
lineString,
radius,
tolerance)
Learn more about syntax conventions.
Name | Type | Required | Description |
---|---|---|---|
lineString | dynamic |
✔️ | A LineString or MultiLineString in the GeoJSON format. |
radius | real |
✔️ | Buffer radius in meters. Valid value must be positive. |
tolerance | real |
Defines the tolerance in meters that determines how much a polygon can deviate from the ideal radius. If unspecified, the default value 10 is used. Tolerance should be no lower than 0.0001% of the radius. Specifying tolerance bigger than radius lowers the tolerance to biggest possible value below the radius. |
Polygon or MultiPolygon around the input LineString or MultiLineString. If the coordinates or radius or tolerance is invalid, the query produces a null result.
Note
- The geospatial coordinates are interpreted as represented by the WGS-84 coordinate reference system.
- The geodetic datum used to measure distance on Earth is a sphere.
- If input line edges are straight cartesian lines, consider using geo_line_densify() in order to convert planar edges to geodesics.
- Endcaps of the lines are round.
- Both sides of the lines are buffered.
LineString definition and constraints
dynamic({"type": "LineString","coordinates": [[lng_1,lat_1], [lng_2,lat_2], ..., [lng_N,lat_N]]})
dynamic({"type": "MultiLineString","coordinates": [[line_1, line_2, ..., line_N]]})
- LineString coordinates array must contain at least two entries.
- Coordinates [longitude, latitude] must be valid where longitude is a real number in the range [-180, +180] and latitude is a real number in the range [-90, +90].
- Edge length must be less than 180 degrees. The shortest edge between the two vertices will be chosen.
The following query calculates polygon around line, with radius of 4 meters and 0.1 meter tolerance
let line = dynamic({"type":"LineString","coordinates":[[-80.66634997047466,24.894526340592122],[-80.67373241820246,24.890808090321286]]});
print buffer = geo_line_buffer(line, 4, 0.1)
buffer |
---|
{"type": "Polygon", "coordinates": [ ... ]} |
The following query calculates buffer around each line and unifies result
datatable(line:dynamic)
[
dynamic({"type":"LineString","coordinates":[[14.429214068940496,50.10043066548272],[14.431184174126173,50.10046525983731]]}),
dynamic({"type":"LineString","coordinates":[[14.43030222687753,50.100780677801936],[14.4303847111523,50.10020274910934]]})
]
| project buffer = geo_line_buffer(line, 2, 0.1)
| summarize polygons = make_list(buffer)
| project result = geo_union_polygons_array(polygons)
result |
---|
{"type": "Polygon","coordinates": [ ... ]} |
The following example will return true, due to invalid line.
print buffer = isnull(geo_line_buffer(dynamic({"type":"LineString"}), 5))
buffer |
---|
True |
The following example will return true, due to invalid radius.
print buffer = isnull(geo_line_buffer(dynamic({"type":"LineString","coordinates":[[0,0],[1,1]]}), 0))
buffer |
---|
True |