GIS Vector Data Analysis
Issued by
University of Alaska Fairbanks
They will be able to carry out geospatial vector data (points, lines, polygons) analysis in Esri ArcGIS Pro including data exploration, data creation and edits, managing coordinate systems, spatial query, symbology and charts for data visualization, use geoprocessing tools for data processing and analysis (e.g. point density, regression, dynamic segmentation of lines, polygon neighbors, temporal animation, 3D analysis), build an end-to-end GIS workflow, and create a project package for sharing.
- Type Learning
- Level Intermediate
- Time Weeks
Skills
Earning Criteria
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Understand geospatial vector data analysis concepts and applications in various disciplines.
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Proficient in the use of ESRI ArcGIS Pro software. Students can use GIS analysis to solve real-world problems in natural resources, geography, biology, and geology. Students can identify appropriate geoprocessing tools and data sets pertinent to a problem.
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Students can develop a workflow that builds on the concept of GIS analysis to move from raw data to an effective representation of spatial information. From there, they can communicate GIS results through maps and graphs (including ArcGIS Story Maps and Dashboards)
Standards
Students will work on one lab and one challenge every week (total 6 labs and 6 challenges; 20 points each). They will perform data analysis in the Esri ArcGIS Pro software for each lab and challenge.
Challenges and labs need a combined score of 80%. Out of 200 points, students will need to earn 80% of the total available points for 6 labs and challenges.