Both of these domains must be accurate, and they must be in agreement. Validating spatial data can quickly become overwhelming since it is necessary to check the accuracy of both the spatial information (the accuracy and precision of the recorded coordinates) and the attribute information (data associated with that location, such as a location name, address, or associated administrative unit). The challenge increases with large datasets that contain hundreds or thousands of geographic coordinates. When working with datasets, ensuring the quality of data is always a challenge. Community-Based Indicators for HIV Programs.Family Planning and Reproductive Health Indicators Database.Results-Based Financing Indicator Compendium.Health Information Systems Strengthening Resource Center. Newsroom: News, Blogs, Podcasts, Videos.
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