Geoscience Reference
In-Depth Information
The fuzzy spatial view of accuracy facilitated the identification of areas with low accuracy that
needed focused attention to refine the map and allowed users to assess the accuracy of the map for
their specific area of interest.
14.6 SUMMARY
Using the same reference data and LC map, three methods of thematic accuracy assessments
were conducted. First, a traditional thematic accuracy assessment using a binary rule (right/wrong)
was used to compare mapped and reference data. Results were summarized in an error matrix
and presented in tabular form by thematic class. Second, a fuzzy set assessment was used to rank
and express the degree of agreement between the mapped and reference data. This allowed for
the expression of accuracy to reflect the fuzzy nature of the classes. Results were also displayed
in tabular form by class but included several estimates of accuracy based on the degree of
agreement defined. Lastly, a spatial analysis using the accuracy rank of the reference data was
interpolated across the study area and displayed in map form. Fuzzy set theory and spatial
visualization help portray the accuracy of the LC map more effectively to the user than a traditional
binary accuracy assessment. The approach provided a substantially greater level of information
about map accuracy, which allows the map users to thoroughly evaluate its utility for specific
project applications.
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