Which of the following is an example of a spatial analysis technique?

Hotspot analysis is a clearly defined spatial analysis technique that involves identifying regions within a dataset that exhibit significant clustering of events, characteristics, or occurrences. This method is particularly useful in various fields such as crime analysis, epidemiology, and urban planning, where understanding the spatial distribution of phenomena is critical. By utilizing spatial patterns and their statistical significance, hotspot analysis helps reveal areas that may require closer examination or intervention, making it a powerful tool for decision-making and strategic planning in geographic contexts.

The other options, such as statistical regression analysis, content analysis, and textual data mining, while they are valuable analytical techniques in their respective fields, do not primarily focus on spatial relationships or spatial data. Statistical regression analysis deals with the relationship between variables without necessarily considering their spatial context, content analysis focuses on qualitative data evaluation often in text or media formats, and textual data mining involves extracting information from text data rather than analyzing spatial patterns. Therefore, these techniques are not classified as spatial analysis methods.