Sessions

Monday, June 16

Tuesday, June 17

Wednesday, June 18

Thursday, June 19

Friday, June 20

8:30 – 9:00 am

Registration[1] Paper work & Breakfasts

Breakfast

Breakfast

Breakfast

Breakfast

9:00 – 10:30 am

Welcome Address by Dean Brian Berry

Overview: Modeling geo-referenced data [Core instructors]

Spatial auto­regressive models [BI&TI]

Spatial filters for spatial autoregressive models in normally distributed disturbances [TI]

The Generalized Linear Model (GLM) [TI&CH]

Mixed spatial filter models: LMM and GLMM [GR&YO]

10:45 – 12:15 am

Spatial auto­cor­relation and spatial structures [TI]

Maximum Likelihood Estimation & the Jacobian term

[GR]

Linear spatial filter models to capture spatial heterogeneities [GR]

Spatial autocorrelation and filtering in the GLM [CH&TI]

Structuring random effects with spatial filters in WinBUGS [GR&YO]

Lunch Break

Lunch Break

Lunch Break

Lunch Break

Lunch Break

1:30 – 2:30 pm

Introduction to R [TI&CH]

Introduction to work­shop data sets [TI]

Modeling spatial auto­correlation by spatial filtering [TI]

GLM with R [CH&TI]

Spatial filtering with the G-statistic [Getis]

2:45 – 3:45 pm

Eigensystems of spa­tial structures [GR]

Introduction to the spdep package [BI]

Geographically Weighted Regression with R [BI]

Modeling spatial auto­correlation in GLM by spatial filtering [CH&TI]

A critical reflection on spatial filtering [Core instructors]

4:00 – 5:00 pm

Mapping with R [BI]

Spatial auto­regressive models in R [BI&TI]

Modeling local spatial heterogeneity by eigen­vector interaction terms [YO]

Model local spatial heterogeneity in GLM by eigenvector inter­action terms [YO&GR]

Closing session and course evalu­ation [TI]

5:00 – 7:00 pm

Welcome reception with Mediterranean Theme

Dinner on your own

Dinner on your own

Dinner on your own

Closing reception with Texan theme

7:00 – 8:30 pm

Hosted at the Canyon Creek Club

Special topic: Bayesian spatial auto­regressive models [LeSage]

Special topic: Imputing missing data and inter­polating spatial filters [YO&GR]

Special topic: Spatial filtering of network autocorrelation in spatial interaction data [CH&TI]

Hosted at the Canyon Creek Club