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Conversion between data models VectorRaster. Conversion between data models.

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Presentation on theme: "Conversion between data models VectorRaster. Conversion between data models."— Presentation transcript:

1 Conversion between data models VectorRaster

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3 Conversion between data models

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5 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.

6 Problems associated with conversion: –Loss of Detail –Loss of Accuracy –Stair Stepping (raster to vector) –Changes to the original data

7 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”

8 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


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