Reconstruct Tracks

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Reconstruct Tracks function can describe the motion tracks of an object by it's different locations at different times. For example, a car will upload its locations to the server via GPS at regular intervals during driving, with this uploaded location data, using Reconstruct Tracks function, you can construct the car's tracks over a period of time and clearly see the running state of the car.

The image below is a result of reconstructing tracks by using point dataset. You can specify one or more fields to identify tracks. And you can apply time split to split the same track. Optionally, you can specify statistical mode to calculate statistics with the fields from input point dataset or region dataset within each track and take the statistical value as a part of the track.

An example of reconstructing tracks

Parameters for creating a Reconstruct Tracks task:

Input Dataset: Required, only supports point dataset and region dataset. The reconstructtracks resource page in iServer automatically lists all the datasets that meet the analysis conditions.
Time Field: Required. Used to specify the time field of the input dataset, which describes the moment of recording the location.
Track ID Fields: Requried. Uniquely identify a track. Can be set with multiple fields.
Time Split Interval: Required. Default value is 0. Used to split the data of the same track. For example, if you set the time split of 10 seconds, any features greater than 10 seconds apart will be split into separate tracks, that is, any features smaller than or equal to 10 seconds apart are blong to the same track. If this parameter is 0, it won't apply time split.
Interval Unit: Unit of Time Split Interval, required. Options: milliSeconds, seconds, minutes, hours, days, weeks, months, years. Defaults to seconds.
Summary Fields: Optional. Used to calculate statistics with the fields from the input point or region dataset.
Statistical Modes: Optional, including: MAX, MIN, SUM, RECORDCOUN, AVERAGE, VARIANCE, STDDEVIATION. The count of Statistical Modes should be the same with the count of Summary Fields.