What is a disadvantage of vector data?

Vector data represents geographic features through points, lines, and polygons, which provide a high level of detail and precision in mapping discrete features such as roads, buildings, and boundaries. However, a significant disadvantage of vector data lies in its complex storage methodology. This complexity arises from the way vector data organizes and stores geometric information. Each feature requires multiple data attributes, such as coordinates and geographic identifiers, which need to be accurately managed to maintain the relationships and integrity of the dataset.

Furthermore, vector data often involves the use of topological rules to understand spatial relationships, such as adjacency and connectivity. These rules can complicate the data management process, particularly in terms of editing and analysis. As a result, while vector data can be incredibly detailed and useful for certain types of analysis, its complexity in storage and management presents challenges that can hinder usability, especially in terms of data processing and system requirements.