GIS data models define real-world phenomena in a way that computers can interpret and analyze. There are two main data models: vector and raster. Vector data models use points, lines, and polygons defined by x,y coordinates to represent discrete geographic features. Raster data models use a grid of cells or pixels to represent continuous surfaces like elevation or rainfall. Scale affects how spatial entities are represented as points, lines, or polygons in a vector data model. Common vector data formats include shapefiles, coverages, and digital line graphs.