In TerrainView-Globe™, a terrain consists of one or more datasets. There are four categories of datasets:
Image: Rasterized color data. The dataset is mapped onto the geometry of the elevation data. If no elevation dataset is loaded, the image data is mapped onto an almost perfect sphere and the terrain will appear flat.
Elevation: Rasterized height data, like a grid for which every grid point has an altitude value. Adding elevation datasets to the terrain is vital since it defines all the geometrical detail. However, without image data, the elevation datasets are not visible by themselves.
Vector: This kind of dataset holds data in the form of connected points in space. A vector dataset is basically a bunch of lines and polygons. These could be political boundaries, roads, rivers, etc.
Annotation: These are labels, chunks of text associated with a position. Annotations are a very powerful tool for orientation purposes: Annotations could be names of countries, lakes, cities, etc.
All types of datasets feature so-called levels of detail (LOD). The closer you go, the more detailed the data will appear. How the different LODs are used dynamically can be controlled in the configuration options dialog.