[DESCRIPTION]  [INSTRUCTOR]  [LOGISTICS]  [COURSE MATERIALS]

Instructors: Paul Voss, Ph.D., University of Wisconsin; Katherine Curtis White, Ph.D ., University of Wisconsin

Dates: July 14-18, 2008

Location: Bloomington, Indiana; Co-sponsored by the Bureau of Social Science Research, the Karl F. Schuessler Institute for Social Research, and the Department of Political Science, Indiana University.

The Schuessler Institute for Social Research serves as the local host for this workshop, offered through the Inter-university Consortium for Political and Social Research (ICPSR) Summer Program. The goal of this five day workshop is to provide an overview of applied spatial regression analysis (spatial econometrics) that will enable participants to effectively incorporate these tools into their own empirical research. This course will introduce the broader field of spatial data analysis and the range of issues that generally must be dealt with when analyzing georeferenced data. Census-type data are among the most commonly encountered data that conform to this description, although the course acknowledges the wider range appropriate for spatial data analysis. The role of autocorrelation in spatial data sets is a central focus. This course will address the following questions: how does spatial autocorrelation arise; how is it measured and understood; how does it relate to issues of spatial hetereogeneity and spatial dependence; and how should it inform the specification and estimation of regression models. The course is structured around a combined lecture format (mornings) and computing lab exercises (afternoons). Although the course uses mapping software, the focus is on spatial analysis, not Geographic Information Systems (GIS). Software emphasis will be given to ArcGIS9 and GeoDa for exploratory spatial analysis (ESDA) and modeling. Some acquaintance with this software is helpful but is not a prerequisite. Prerequisites for maximizing learning in this course are a solid grounding in standard multivariate regression techniques and a minimal level of comfort with matrix notation and algebra.

The workshop will meet each day from 9:00 a.m. – 5:00 p.m. with a one-hour break for lunch.

Registration materials available through the ICPSR Summer Program website:

http://www.icpsr.umich.edu/sumprog/2008/registration.html.

Enrollment in this course is limited

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Last updated: 09 June 2008
Comments: thomasjl@indiana.edu
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