What type of data does GIS primarily deal with in the context of CPS Node architecture?

In the context of CPS Node architecture, Geographic Information Systems (GIS) primarily deals with spatial data analysis. GIS is designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. This type of data includes information about the locations and shapes of physical features on the earth's surface, which can be crucial for various applications within Cyber-Physical Systems (CPS).

Spatial data allows for the visualization and analysis of relationships or patterns related to geographical components, enabling nodes in a CPS to interact effectively with their environments. For instance, analyses might involve examining the geographic distribution of resources, monitoring environmental changes, or optimizing logistics and infrastructure layouts based on geographical constraints.

While other types of data like numerical performance metrics, financial forecasts, and user demographics hold significance in the broader context of data management and analysis, they do not specifically focus on the geographic or spatial attributes that GIS is tailored to handle. Hence, the emphasis on spatial data analysis makes it the correct choice within the framework of CPS Node architecture.