Presentation on theme: "Conversion between data models VectorRaster. Conversion between data models."— Presentation transcript:
Conversion between data models VectorRaster
Conversion between data models
Choosing an appropriate cell size is not always simple. You must balance your application's need for spatial resolution with practical requirements for quick display, processing time, and storage.
Problems associated with conversion: –Loss of Detail –Loss of Accuracy –Stair Stepping (raster to vector) –Changes to the original data
Choosing between data models Often depends on –Type of entity or phenomena represented. – (discrete or continuous) – Available storage. – Expected types of analysis. – Expertise of human operators. – Level of accuracy desired. “Raster is faster but vector is corrector”
Choosing between data models Raster is useful when: –Working with continuous data types –Good for large area analyses –Good for surface analysis –Mathematical modeling –Spatial detail isn’t important Vector is useful when: –Working with discrete data types –Good for small study areas –Spatial detail is important (When “close enough” isn’t really good enough). –When topology is needed for the analysis