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GEOG 579

GIS AND SPATIAL ANALYSIS

4 credits.

Principles and algorithms for spatial analysis in geographic imformation systems. A theoretical and practical examination of analytical methods used in GIS, including point, line and polygon processing, interpolation, smoothing, spatial overlay and query, network analysis, terrain analysis, and classification.

Prerequisites & course information

Requisites: GEOG/CIV ENGR/ENVIR ST 377 or graduate/professional standing Course Designation: Core GenEd - Natural Science & Wellness + Lab Breadth - Physical Science Level - Advanced L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Identify the limitations of common spatial data analytical techniques. Audience: Both Grad & Undergrad 2. Determine the usefulness of common spatial data analysis techniques. Audience: Both Grad & Undergrad 3. Select and apply these techniques in respective applications. Audience: Both Grad & Undergrad 4. Investigate the limitations of emerging spatial data analytical techniques to avoid misuse or abuse of these techniques. Audience: Both Grad & Undergrad 5. Make connections to one's own research areas either as the basis for technological improvements or as effective applications of these technologies. Audience: Graduate Learning Outcomes: 1. Identify the limitations of common spatial data analytical techniques. Audience: Both Grad & Undergrad 2. Determine the usefulness of common spatial data analysis techniques. Audience: Both Grad & Undergrad 3. Select and apply these techniques in respective applications. Audience: Both Grad & Undergrad 4. Investigate the limitations of emerging spatial data analytical techniques to avoid misuse or abuse of these techniques. Audience: Both Grad & Undergrad 5. Make connections to one's own research areas either as the basis for technological improvements or as effective applications of these technologies. Audience: Graduate

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