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Automatically and Accurately Conflating Road Vector Data, Street Maps and Orthoimagery Changchun Chen Ph.D. Dissertation March 2005 Outline Introduction & Motivation Our approach: AMS conflation Vector

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7. Test the accuracy of the conflated dataset by comparing it with known or verified data. This will help validate the accuracy of the conflating process.

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What is automatically and accurately conflating?

Automatically and accurately conflating is the process of merging or combining data sets to create a single, unified dataset without any errors or discrepancies.

Who is required to file automatically and accurately conflating?

Anyone who handles large amounts of data and needs to ensure its accuracy and consistency is required to file automatically and accurately conflating.

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Automatically and accurately conflating can be filled out using automated software tools that are designed to merge data sets efficiently and accurately.

What is the purpose of automatically and accurately conflating?

The purpose of automatically and accurately conflating is to ensure that data is consolidated and consistent across different sources, making it easier to analyze and use.

What information must be reported on automatically and accurately conflating?

Information such as data sources, merging criteria, and any transformations applied to the data must be reported on automatically and accurately conflating.

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