Question

 Explain in brief the spatial and non-spatial data models in GIS.

16 Aug 2025
Answer :
Word Count : 545
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 __________ _____ _______ ___ _____ _________ ________ ________ _______ ________ _________ _______.
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