htérkép

A hitérkép, also known as a heat map, is a data visualization tool that uses color gradients to represent the magnitude or intensity of data points within a particular area or dataset. This graphical representation allows viewers to quickly identify patterns, concentrations, and variations across a spatial or conceptual domain.

Heat maps are commonly employed across various fields such as geography, marketing, biology, and web analytics. In geographic information systems (GIS), they illustrate the density of features like population, crime incidents, or natural resources. In website analytics, heat maps display user engagement metrics, such as clicks, scrolls, or mouse movements, providing insights into user behavior and interface effectiveness.

The core principle of a heat map involves assigning different colors—often ranging from cool colors like blue to warm colors like red—to indicate low and high values, respectively. Data is typically represented in a matrix, grid, or overlaid on the visual element, whereby the intensity of the color correlates with the data's magnitude at a specific point.

Creating an effective heat map involves selecting appropriate data sources, defining the color gradient, and often applying smoothing techniques to generate a continuous representation. While heat maps are valuable for visual synthesis of complex data, they also require careful interpretation to avoid misrepresentation or overgeneralization of the underlying information.

Overall, heat maps serve as a powerful tool for data analysis and presentation, enabling users to identify trends, outliers, and areas of interest efficiently and intuitively.