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Schedule
Lectures
Lecture 1: Conceptual frameworks of spatial analysis
Lecture 2: Spatial analysis as a process
Lecture 3: Data exploration and spatial statistics
Lecture 4: Surface and field analysis
Climate data analysis (Guest Lecture)
Lecture 6: Big data in Geospatial Analytics
Lecture 7: Geocomputational methods
Lecture 8: Geocomputational methods
Labs
Make a Map
Lab 1: Fire station suitability analysis (4.5 pts)
Lab 2: Analyzing violent crime (9 pts)
Lab 3: Rediscovering Trails in National Parks (4.5 pts)
Lab 4: Watershed and Drainage Modeling from DEM (4.5 pts)
Lab 5: Interpolate temperatures using the Geostatistical Wizard (4.5 pts)
Lab 6: Geospatial analysis using python (9 pts)
Lab 7: Correlation between Vegetation Indices and Soybean Yield using Google Earth Engine
Mid-Term Exam
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