Foundations of Data Science
Spatial data refers to information about the position, shape, and size of objects in a defined space, often represented in a geographic context. This type of data is crucial for understanding relationships and patterns in the real world, as it allows for the analysis of how different elements interact over space. Spatial data can come in various forms, such as points, lines, and polygons, which are essential for tasks like mapping and spatial analysis.
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