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 Agenda for Introduction to Spatial Data Analysis
 


Description   | Agenda   |  Participants  |  Travel & Accommodations

Calendar, Short Version

Calendar, Expanded Version

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:

 
Lectures:

• Introduction and motivation
• What is special about spatial data?

 
Exercise:

• Demonstration of course software, how to get started   (ArcView, DynESDA, SpaceStat, CrimeStat, Variowin)
• Optional: Quick start to ArcView
• SpaceStat basics

Tuesday, 17 July:

 
Lectures:

• Visualization and exploratory spatial data analysis (ESDA)
• Introduction to point pattern analysis

 
Exercise:

• ESDA
• CrimeStat basics

Wednesday, 18 July:

 
Lectures:

• Spatial arrangement and spatial weights
• Spatial autocorrelation indices

 
Exercise:

• Manipulating spatial weights in SpaceStat
• Global spatial autocorrelation indices in SpaceStat

Thursday, 19 July:

 
Lectures:

• Local spatial autocorrelation
• Variogram (geostatistics)

 
Exercise:

• LISA maps
• Variowin basics
• Exploring variograms

Friday, 20 July:

 
    Lectures:

• Kriging
• Introduction to spatial regression analysis

 
  Exercise:

• Modeling variograms
• Spatial regression basics in SpaceStat



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