TRK_Length

TRK_Length takes a track column and returns a float column representing the length of each input track. The result is returned in the units specified by output_unit. When output_unit is None, the result is in the units of the input track's spatial reference if it's projected; otherwise, the result is in meters.

Planar distance calculations are used if the input tracks have a projected spatial reference or no spatial reference. Chordal distance calculations are used if the input tracks have a geographic spatial reference. For more information see Coordinate systems and transformations.

Tracks are linestrings that represent the change in an entity's location over time. Each vertex in the linestring has a timestamp (stored as the M-value) and the vertices are ordered sequentially.

For more information on using tracks in GeoAnalytics for Microsoft Fabric, see the core concept topic on tracks.

FunctionSyntax
Pythonlength(track, output_unit=None)
SQLTRK_Length(track, output_unit)
Scalalength(track, outputUnit)

For more details, go to the GeoAnalytics for Microsoft Fabric API reference for length.

Examples

PythonPythonSQLScala
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from geoanalytics_fabric.tracks import functions as TRK
from geoanalytics_fabric.sql import functions as ST
from pyspark.sql import functions as F

data = [
    ("LINESTRING M (-117.27 34.05 1633455010, -117.22 33.91 1633456062, -116.96 33.64 1633457132)",),
    ("LINESTRING M (-116.89 33.96 1633575895, -116.71 34.01 1633576982, -116.66 34.08 1633577061)",),
    ("LINESTRING M (-116.24 33.88 1633575234, -116.33 34.02 1633576336)",)
]

df = spark.createDataFrame(data, ["wkt",]) \
          .withColumn("track", ST.line_from_text("wkt", srid=4326))

df.select(F.round(TRK.length("track", "miles"), 3).alias("length")).show()
Result
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+------+
|length|
+------+
|33.947|
|16.507|
|10.947|
+------+

Version table

ReleaseNotes

1.0.0-beta

Python, SQL, and Scala functions introduced

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