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Lectures are from 9:00am to 1:00pm, labs are from 2:30 to 5:00.
Monday August 6 � Introduction:
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Lecture: |
• welcome and organization
• introduction and motivation
• spatial effects
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Lab: |
• demonstration of SpaceStat
• getting your data ready for spatial regression analysis (data input, spatial weights, exploratory data analysis)
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Tuesday August 7 � Specifying Spatial Models:
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Lecture: |
• spatial heterogeneity
• models for spatial dependence
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Lab: |
• spatial heterogeneity
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Wednesday August 8 � Specification Testing:
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Lecture: |
• tests against various forms of spatial autocorrelation in regression models
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Lab: |
• testing for spatial dependence in SpaceStat
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Thursday August 9 � Estimation:
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Lecture: |
• maximum likelihood estimation of spatial models
• instrumental variables/general method of moments estimation of spatial models
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Lab: |
• estimating spatial models in SpaceStat
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Friday August 10 � Advanced Topics:
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Lecture: |
• space-time dependence
• spatial probit models
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Lab: |
• putting it all together
• project presentations
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