Geographic Context
Geographic context refers to the spatial and temporal characteristics of a location that can influence or be influenced by data. In data science, geographic context is used to analyze and understand patterns and relationships between data and their geographic locations. This includes the use of geographic information systems (GIS) and other spatial analysis tools to visualize and analyze data in a geographic context. Geographic context can also be used to identify and analyze spatial patterns and relationships in data, such as clustering, hotspots, and spatial autocorrelation. Additionally, geographic context can be used to model and predict spatial phenomena, such as the spread of diseases or the movement of populations.
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