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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:
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• welcome and organization
• introduction and motivation
• spatial effects
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Lab:
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• 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:
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• spatial heterogeneity
• models for spatial dependence
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Lab:
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• spatial heterogeneity
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Wednesday August 8 – Specification Testing:
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Lecture:
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• tests against various forms of spatial
autocorrelation in regression models
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Lab:
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• testing for spatial dependence in SpaceStat
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Thursday August 9 – Estimation:
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Lecture:
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• maximum likelihood estimation of spatial
models
• instrumental variables/general method of
moments estimation of spatial models
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Lab:
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• estimating spatial models in SpaceStat
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Friday August 10 – Advanced Topics:
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Lecture:
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• space-time dependence
• spatial probit models
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Lab:
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• putting it all together
• project presentations
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