When working with geospatial data in a GIS, you need to understand the types of data you are using. The types of data will determine how to visualize and the types of analyzes that you can do. First, there are spatial and non-spatial data. Spatial, as the name implies, has a location associated with it.
There are two types of spatial data: discrete and continuous. In general, discrete data are commonly represented in a vector data model, while continuous data are represented in a raster data model.
Non-spatial data, often called attribute data, are the characteristics associated with the spatial data. These attributes can take one of the forms: