What is the main goal of using 'data visualization' in GIS?

The primary goal of using data visualization in GIS is to effectively communicate data insights through visual means. Visualization transforms complex datasets into formats that are easier to understand and interpret, such as maps, charts, and graphs. This process enables users—whether they are scientists, decision-makers, or the general public—to quickly grasp trends, patterns, and anomalies within the geographic data.

Good data visualization helps convey the story behind the data, making it an essential tool for conveying findings and supporting informed decision-making. For instance, a well-designed map can illustrate population density or environmental changes, which would be difficult to understand through raw data alone. The focus here is on the communication aspect, which is crucial for making GIS data actionable.

In contrast, while gathering data from sensors, creating 3D models of terrain, and performing statistical analysis are all relevant activities within GIS, they do not pertain specifically to the visualization goal. Instead, they serve different purposes in the broader GIS workflow, focusing on data collection, modeling, and analytical tasks respectively.