About this Course
Solve your data challenges through dataset preparation
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.
After completing this course, you will be able to:
- Identify the data requirements for a given project and potential sources for data acquisition.
- Assess a dataset's spatial and temporal accuracy; logical consistency; and completeness to determine whether it meets a project's data quality standards.
- Apply ArcGIS Pro tools and techniques to address quality issues, correct errors and create new data that contains the spatial extent, accuracy and attributes required for a project.
- Create metadata to document a dataset's quality so that others can easily assess its appropriateness for their projects.