geo_polygon_centroid()
Applies to: ✅ Microsoft Fabric ✅ Azure Data Explorer ✅ Azure Monitor ✅ Microsoft Sentinel
Calculates the centroid of a polygon or a multipolygon on Earth.
Syntax
geo_polygon_centroid(
polygon)
Learn more about syntax conventions.
Parameters
Name | Type | Required | Description |
---|---|---|---|
polygon | dynamic |
✔️ | Polygon or multipolygon in the GeoJSON format. |
Returns
The centroid coordinate values in GeoJSON Format and of a dynamic data type. If polygon or multipolygon are 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 for measurements on Earth is a sphere. Polygon edges are geodesics on the sphere.
- If input polygon edges are straight cartesian lines, consider using geo_polygon_densify() to convert planar edges to geodesics.
- If input is a multipolygon and contains more than one polygon, the result will be the centroid of polygons union.
Polygon definition and constraints
dynamic({"type": "Polygon","coordinates": [ LinearRingShell, LinearRingHole_1, ..., LinearRingHole_N ]})
dynamic({"type": "MultiPolygon","coordinates": [[ LinearRingShell, LinearRingHole_1, ..., LinearRingHole_N], ..., [LinearRingShell, LinearRingHole_1, ..., LinearRingHole_M]]})
- LinearRingShell is required and defined as a
counterclockwise
ordered array of coordinates [[lng_1,lat_1],...,[lng_i,lat_i],...,[lng_j,lat_j],...,[lng_1,lat_1]]. There can be only one shell. - LinearRingHole is optional and defined as a
clockwise
ordered array of coordinates [[lng_1,lat_1],...,[lng_i,lat_i],...,[lng_j,lat_j],...,[lng_1,lat_1]]. There can be any number of interior rings and holes. - LinearRing vertices must be distinct with at least three coordinates. The first coordinate must be equal to the last. At least four entries are required.
- Coordinates [longitude, latitude] must be valid. Longitude must be a real number in the range [-180, +180] and latitude must be a real number in the range [-90, +90].
- LinearRingShell encloses at most half of the sphere. LinearRing divides the sphere into two regions and chooses the smaller of the two regions.
- LinearRing edge length must be less than 180 degrees. The shortest edge between the two vertices is chosen.
- LinearRings must not cross and must not share edges. LinearRings might share vertices.
Examples
The following example calculates the Central Park centroid in New York City.
let central_park = dynamic({"type":"Polygon","coordinates":[[[-73.9495,40.7969],[-73.95807266235352,40.80068603561921],[-73.98201942443848,40.76825672305777],[-73.97317886352539,40.76455136505513],[-73.9495,40.7969]]]});
print centroid = geo_polygon_centroid(central_park)
Output
centroid |
---|
{"type": "Point", "coordinates": [-73.965735689907618, 40.782550538057812]} |
The following example calculates the Central Park centroid longitude.
let central_park = dynamic({"type":"Polygon","coordinates":[[[-73.9495,40.7969],[-73.95807266235352,40.80068603561921],[-73.98201942443848,40.76825672305777],[-73.97317886352539,40.76455136505513],[-73.9495,40.7969]]]});
print
centroid = geo_polygon_centroid(central_park)
| project lng = centroid.coordinates[0]
Output
lng |
---|
-73.9657356899076 |
The following example performs union of polygons in multipolygon and calculates the centroid of the unified polygon.
let polygons = dynamic({"type":"MultiPolygon","coordinates":[[[[-73.9495,40.7969],[-73.95807266235352,40.80068603561921],[-73.98201942443848,40.76825672305777],[-73.97317886352539,40.76455136505513],[-73.9495,40.7969]]],[[[-73.94262313842773,40.775991804565585],[-73.98107528686523,40.791849155467695],[-73.99600982666016,40.77092185281977],[-73.96150588989258,40.75609977566361],[-73.94262313842773,40.775991804565585]]]]});
print polygons_union_centroid = geo_polygon_centroid(polygons)
Output
polygons_union_centroid |
---|
"type": "Point", "coordinates": [-73.968569587829577, 40.776310752555119]} |
The following example visualizes the Central Park centroid on a map.
let central_park = dynamic({"type":"Polygon","coordinates":[[[-73.9495,40.7969],[-73.95807266235352,40.80068603561921],[-73.98201942443848,40.76825672305777],[-73.97317886352539,40.76455136505513],[-73.9495,40.7969]]]});
print
centroid = geo_polygon_centroid(central_park)
| render scatterchart with (kind = map)
Output
The following example returns true
because of the invalid polygon.
print isnull(geo_polygon_centroid(dynamic({"type": "Polygon","coordinates": [[[0,0],[10,10],[10,10],[0,0]]]})))
Output
print_0 |
---|
true |