What is a heatmap used for in geospatial analysis?

A heatmap is utilized in geospatial analysis primarily as a graphical representation of data values depicted by color. This visualization technique allows analysts to understand patterns and trends in data by translating numerical values into a color gradient. The intensity of the color corresponds to the density or magnitude of the data points, which can reveal hotspots or areas of interest within a specific geographic area.

For instance, in urban studies, a heatmap can show the concentration of certain events, such as traffic incidents or population density, making it easier for analysts to identify where interventions might be needed or where resources should be allocated. The effectiveness of heatmaps lies in their ability to condense complex datasets into an easily interpretable format that enhances decision-making processes.

While other choices may relate to geospatial analysis, they do not encapsulate the primary purpose and function of a heatmap in visualizing data distributions effectively.