State the spatial data models usually used to represent real-world features in a GIS. Time left 1:13:51 \( \square \) a. Raster and vector data models \( \square \) b. Spatial and attribute data Projections and datums \( \square \) d. Points, lines and polygons \( \square \) e. Grid cells \( \square \) f. None of the options are correct.

When talking about representing real-world features in a GIS, raster and vector data models are the leading stars! Raster data uses grid cells, making it ideal for continuous data like elevation or temperature, while vector data represents discrete features, such as roads, buildings, and boundaries through points, lines, and polygons. Together, they provide a comprehensive way to visualize and analyze a variety of spatial information. In the world of GIS, understanding how to appropriately use these data models can lead to impactful real-world applications. For instance, city planners can utilize vector models to design urban landscapes, ensuring optimal road placement and zoning. Meanwhile, environmental scientists may lean on raster models to analyze habitat ranges, enabling them to monitor changes in ecosystems over time. With the right data model, spatial analysis can drive effective decision-making!