TRK_After

TRK_After takes a track and an offset and returns a track. The result is the subset of the input track that comes after the offset distance or offset duration from the start of the track.

An offset column can be created with ST_CreateDistance or ST_CreateDuration. You can also define an offset with a tuple containing a number and a unit string (e.g., (10, "kilometers") or (5, "minutes")).

For example, if you use a distance offset of 2 miles, the result track will be the subset of the input track that is 2 miles or further along the input track's length from its start. Similarly, if you use a duration offset of 10 minutes, the result track will be the subset of the input track that is 10 minutes or longer from its start time.

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.

FunctionSyntax
Pythonafter(track, offset)
SQLTRK_After(track, offset)
Scalaafter(track, offset)

For more details, go to the GeoAnalytics Engine API reference for after.

Python and SQL Examples

PythonPythonSQL
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from geoanalytics.sql import functions as ST
from geoanalytics.tracks import functions as TRK

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)) \
                                         .withColumn("10_minutes", TRK.query("track", (10, "minutes"))) \
                                         .withColumn("start_point", ST.start_point("track")) \
                                         .withColumn("end_point", ST.end_point("track"))

result = df.withColumn("after", TRK.after("track", (10, "minutes")))

ax = result.st.plot("track", edgecolor="lightgrey",  linewidths=10, zorder=0, figsize=(15, 8))
result.st.plot("start_point", ax=ax, s=75, facecolor="green", zorder=2)
result.st.plot("end_point", ax=ax, s=75, facecolor="red", zorder=2)
result.st.plot("10_minutes", ax=ax, s=75, facecolor="black", marker="x", zorder=2)
result.st.plot("after", ax=ax, edgecolor="greenyellow", linewidths=3, zorder=1)
ax.legend(['Input track','Input track start','Input track end','10 minutes along input track','Result track'],
          loc='lower right', fontsize='x-large')
Plotted example for TRK_After
Plotted result for TRK_After.

Scala Example

Scala
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import com.esri.geoanalytics.sql.{functions => ST}
import com.esri.geoanalytics.sql.{trackFunctions => TRK}
import org.apache.spark.sql.{functions => F}

case class lineRow(lineWkt: String)

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

val df = spark.createDataFrame(data)
              .withColumn("track", ST.lineFromText($"lineWkt", F.lit(4326)))
              .withColumn("after", TRK.after($"track",  F.lit(struct(F.lit(10), F.lit("minutes")))))

df.select("after").show(truncate = false)
Result
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+--------------------------------------------------------------------------------------------------------------------------------------------+
|after                                                                                                                                       |
+--------------------------------------------------------------------------------------------------------------------------------------------+
|{"hasM":true,"paths":[[[-117.24148288973383,33.97015209125475,1.63345561e9],[-117.22,33.91,1.633456062e9],[-116.96,33.64,1.633457132e9]]]}  |
|{"hasM":true,"paths":[[[-116.79064397424102,33.987598896044155,1.633576495e9],[-116.71,34.01,1.633576982e9],[-116.66,34.08,1.633577061e9]]]}|
|{"hasM":true,"paths":[[[-116.28900181488203,33.95622504537205,1.633575834e9],[-116.33,34.02,1.633576336e9]]]}                               |
+--------------------------------------------------------------------------------------------------------------------------------------------+

Version table

ReleaseNotes

1.4.0

Python and SQL functions introduced

1.5.0

Scala function introduced

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