What are data linkages? Explain linking non spatial data with spatial data.

Data linkages refer to the process of connecting different datasets to enhance their utility and provide more comprehensive insights. In the context of Global Navigation Satellite Systems (GNSS) and Geographic Information Systems (GIS), data linkages involve integrating various types of data—especially linking non-spatial (attribute) data with spatial (location-based) data. This integration allows for advanced spatial analysis, decision-making, and visualization.  

### Linking Non-Spatial Data with Spatial Data  
Non-spatial data, also known as attribute data, refers to descriptive information that does not contain direct geographic coordinates but is relevant to spatial features. Examples include demographic details, land use classifications, economic statistics, and sensor readings. Spatial data, on the other hand, consists of geographic coordinates, map features, and spatial relationships. The process of linking these two types of data enhances GIS and GNSS applications in various domains, such as urban planning, agriculture, transportation, and environmental management.  

#### Methods of Linking Non-Spatial Data with Spatial Data  
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