In terms of data visualization, what is "Symbology"?

Symbology refers to the methods and rules by which map features are visually represented. It encompasses the design elements such as colors, shapes, line styles, and size that are applied to geographical features and data points on a map. Effective symbology enhances the readability and interpretability of a map, allowing users to quickly understand the information being conveyed. By implementing various symbology techniques, map creators can highlight specific data attributes, differentiate between data types, or show relationships between features, ultimately improving the communication of geographic information.

The other options do not accurately define symbology. The techniques used for data retrieval focus on how data is accessed or extracted rather than visual representation. Layering multiple data formats deals with the spatial arrangement of different data layers on a map, while the coding system for remote sensing data is related to the specific data formats and standards maintained within that field. These concepts are important within GIS and data management but do not directly align with the definition of symbology in data visualization.