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ENV510 Landscape Ecology and GIS
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up GIS | Using
GIS
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Representation
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| Micro-level
| Positional | Attribute
| Logical | Resolution
| Macro-level | Usage
| Error | Management
Logical
consistency refers to how well logical relations among data elements are maintained
(Aranoff,
1989), or the internal consistency of the data structure.
An example
of when inconsistencies can occur is when data sets are overlayed and there
are slight discrepancies in position between features on the layers. This difference
in position creates sliver polygons (ie
a region between two boundaries).
One way
of dealing with these inconsistencies is to assign bands of uncertainties to
slivers. A boundary that is treated as a band of uncertainty is known as a fuzzy
boundary.
Logical
consistency can also be known as entity-attribute
agreement error. This can occur when correctly typed codes are attached
to the wrong entities.
There is
no standard measure of logical consistency. The best way to deal with this sort
of error is to try to control it at the data capture stage. Factors that particularly
need consistency are scale and descriptions.
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