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| Description | Agenda | Participants | Travel & Accommodations |
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Lectures are from 9:00am to 1:00pm daily in Ellison Hall, Room 2620;
Lab Exercises are from 2:30 to 5:00 in Ellison Hall, Room 2610 (next door).
Monday, 16 July:
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Lectures:
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• Introduction and motivation
• What is special about spatial data?
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Exercise:
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• Demonstration of course software, how to get started (ArcView, DynESDA, SpaceStat, CrimeStat, Variowin)
• Optional: Quick start to ArcView
• SpaceStat basics
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Tuesday, 17 July:
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Lectures:
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• Visualization and exploratory spatial data analysis (ESDA)
• Introduction to point pattern analysis
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Exercise:
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• ESDA
• CrimeStat basics
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Wednesday, 18 July:
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Lectures:
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• Spatial arrangement and spatial weights
• Spatial autocorrelation indices
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Exercise:
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• Manipulating spatial weights in SpaceStat
• Global spatial autocorrelation indices in SpaceStat
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Thursday, 19 July:
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Lectures:
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• Local spatial autocorrelation
• Variogram (geostatistics)
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Exercise:
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• LISA maps
• Variowin basics
• Exploring variograms
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Friday, 20 July:
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Lectures:
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• Kriging
• Introduction to spatial regression analysis
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Exercise:
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• Modeling variograms
• Spatial regression basics in SpaceStat
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