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Detailed Course Information


Spring 2024
May 30, 2024
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DANA 310 - Spatial Data Analysis
This course explores the application of spatial data analytics to uncover hidden patterns and improve predictive modeling. Lectures cover principles of spatial data analytics as applied in the environmental sciences, geography, and social sciences, while hands-on exercises cover tools, skills, and techniques of spatial data analysis in Esri's ArcGIS software. Prerequisites: GEOG 265 and GEOG 250 or MATH 181 or MATH 221 or Math 320 or permission of instructor
3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture, Online Fixed Times (Synch), Online (Asynchronous), Study Abroad

Coll of Sciences & Humanities Department

Must be enrolled in one of the following Levels:     

(Undergraduate level GEOG 265 Minimum Grade of D- and Undergraduate level GEOG 250 Minimum Grade of D-) or Undergraduate level MATH 181 Minimum Grade of D- or Undergraduate level MATH 221 Minimum Grade of D- or Undergraduate level MATH 320 Minimum Grade of D-

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