Overview (SPATIAL TEMPORAL PREDICTION command)

SPATIAL TEMPORAL PREDICTION is a time series modeling procedure that include spatial aspects in the analysis.

Syntax rules

  • Parentheses, equals signs, and slashes shown in the syntax chart are required.
  • The command name, subcommand names, and keywords must be spelled in full.
  • Empty subcommands are not allowed.
  • A maximum of two DATASET subcommands are allowed.

Limitations

SPLIT FILE is ignored by SPATIAL TEMPORAL PREDICTION.

Data requirements

Spatial temporal modeling requires data values that define both time and location, including:

  • One or more fields that define time intervals. These fields can be dates or times or numbers that represent cyclic time periods.
  • One or more fields that define location. These fields can be key values that match key values in a map file, or coordinates such as longitude and latitude.
  • For each time interval, there is an instance of each location.
    • For regular time data, it is assumed that there are instances of each location for each time interval. If some locations are missing for some time intervals, those locations are treated as missing data.
    • For point occurrence data used for calculating kernel density estimates, it is assumed that the number of locations changes over time.