Local and global dimensions

Local and global dimensions refer to different scales used to analyze data or patterns. Global dimensions consider the entire system or dataset as a whole, providing an overall perspective or trend. In contrast, local dimensions focus on specific parts or areas within the system, highlighting variations, features, or behaviors unique to those regions. Think of it like viewing a world map versus examining individual neighborhoods; the global view offers the big picture, while local details reveal subtleties within smaller sections. Both perspectives are valuable for a comprehensive understanding of complex systems.