Spatial Temporal Prediction

Spatial temporal prediction uses data that contains location data, input fields for prediction (predictors), one or more time fields, and a target field. Each location has numerous rows in the data source that represent the values of each predictor and the target at each time interval.

To know more, go to Base Edition> Core Features>Geospatial Modelling

This example uses fictitious monthly crime data for census tracts in a metropolitan area. The files that are used in this example are available in Samples\English\MapData in the installation folder.

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