# Spatial and Temporal Data Mining

## Spatial Data Mining
- **Spatial Data**: Data related to **location** or geography (Maps, GPS).
- **Goal**: Finding patterns in space.
- **Tools**: GIS (Geographic Information Systems).
- **Examples**:
  - Finding the best location for a new store.
  - Tracking the spread of a disease on a map.

## Temporal Data Mining
- **Temporal Data**: Data related to **time**.
- **Goal**: Finding patterns that change over time (Trends).
- **Tasks**:
  - **Trend Analysis**: Is the stock market going up or down?
  - **Sequence Analysis**: "If event A happens, does event B follow?"
- **Example**: Analyzing weather patterns over 10 years to predict climate change.