When beginning a GIS project, a common challenge is assembling the data needed to answer the question or produce the desired output. The datasets you need may be available but at different accuracy levels, or include the required geographic features but lack a key attribute. Many other issues may make data unusable as-is. This course explores data-preparation techniques that are relevant for a variety of GIS applications. Discover authoritative data resources and gain essential skills to assess data quality, address data inconsistencies, and deliver valid results from your GIS projects.
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