Two types of crime pattern forecasting?

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Crime pattern forecasting is most informative when you separate how crime varies over time from where it occurs. Temporal analysis looks at the timing of crimes—hour of day, day of week, seasonal patterns, and longer-term trends—so you can predict when crimes are more likely to happen. Spatial analysis looks at the places where crimes cluster—hot spots, density in a neighborhood, proximity to certain venues or features—and helps you anticipate where crimes are likely to occur. Together, knowing the time dimension and the geographic dimension gives a fuller forecast of future crime patterns than focusing on one dimension alone.

The other pairings are about methods or measurements rather than the two distinct pattern-dimensions. Predictive modeling and trend analysis are forecasting approaches, but they don’t specify the two pattern dimensions of time and space. Incidence frequency and severity describe crime metrics, not two forecastable pattern types. Historical review and forward projection refer to overall forecasting steps rather than the specific time-versus-space distinction.