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. When output 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 Engine, see the core concept topic on tracks.
| Function | Syntax |
|---|---|
| Python | length(track, output |
| SQL | TRK |
For more details, go to the GeoAnalytics Engine API reference for length.
Examples
from geoanalytics.tracks import functions as TRK
from geoanalytics.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()
+------+
|length|
+------+
|33.947|
|16.507|
|10.947|
+------+Version table
| Release | Notes |
|---|---|
1.4.0 | Function introduced |