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Published byHector Walters Modified over 9 years ago
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Conversion between data models VectorRaster
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Conversion between data models
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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.
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Problems associated with conversion: –Loss of Detail –Loss of Accuracy –Stair Stepping (raster to vector) –Changes to the original data
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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”
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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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