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In Geographical Information System (GIS), data is generally categorized into two main types: spatial data and non-spatial (attribute) data. These two types of data are fundamental for GIS analysis, representation, and decision-making processes. Spatial data refers to the information about the physical location and shape of geographic features on the Earth's surface, whereas non-spatial data describes characteristics or attributes of those features. GIS uses different data models to represent both spatial and non-spatial information effectively. Spatial data models in GIS can be broadly classified into two major types: vector and raster models. The vector data model represents geographic features using points, lines, and polygons. Points are used to represent discrete locations such as wells, schools, or landmarks. Lines (or polylines) represent linear features such as roads, rivers, and railways, while polygons represent area features such as _________ _________ ___ _________ _______ ___ _______ ________ _____ ____ ________.
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