In the context of Geo Engineering and Geo Informatics, the vector model is designed as a spatial data model to represent geographical entities using geometric shapes such as points, lines, and polygons. This model is particularly suitable for:
- Discrete features: These are distinct, separate entities easily characterized by clear boundaries and defined geometric shapes. Examples include roads, buildings, and property lines, which are well-suited to vector representation. Each feature is defined by coordinates, making it possible to precisely map and analyze such data.
The options provided in the question can be better understood through their relationship with data models:
- Continuously varying features: Typically require the raster model which excels at representing data that changes gradually across a region, such as elevation or pollution levels.
- Soil features: These can be represented by both vector and raster models depending on the context, but they often fluctuate or blend, hence not purely discrete.
- Precipitation and temperature features: Generally require a raster model as they entail continuous surface data best displayed through a grid system capturing gradual variations.
Conclusively, the vector model’s capability to represent structured, definable boundaries makes it highly effective for encoding discrete geographical features in geospatial databases. Thus, the correct answer is 'discrete features'.