Spatio-Temporal Prediction modeling node

Spatio-Temporal prediction (STP) has many potential applications such as energy management for buildings or facilities, performance analysis and forecasting for mechanical service engineers, or public transport planning. In these applications measurements such as energy usage are often taken over space and time. Questions that might be relevant to the recording of these measurements include what factors will affect future observations, what can be done to effect a wanted change, or to better manage the system? To address these questions, you can use statistical techniques that can forecast future values at different locations, and can explicitly model adjustable factors to perform what-if analysis.

STP analysis uses data that contains location data, input fields for prediction (predictors), a time field, and a target field. Each location has numerous rows in the data that represent the values of each predictor at each time of measurement. After the data is analyzed, it can be used to predict target values at any location within the shape data that is used in the analysis. It can also forecast when input data for the future points in time are known.

A stream that shows a worked example of using STP, named stp_server_demo.str, and which references the data files room_data.csv and score_data.csv is available from the Demos directory of your IBM SPSS Modeler installation. You can access the Demos directory from the IBM SPSS Modeler program group on the Windows Start menu. The stp_server_demo.str file is in the streams directory.