Summer Training Opportunities in Chicago with Luc Anselin

posted May 1, 2012, 6:01 AM by Rachel Franklin
Below is an announcement for summer training opportunities that may be of interest.  S4 is able to offer some limited support (up to $500 on a competitive basis) to current S4 Fellows to defray the cost of this workshop.
~~~~~~
Dr. Luc Anselin is offering two courses this summer in Chicago, Illinois:
"Spatial Autocorrelation" - Wednesday, July 25, 2012 to Friday, July 27, 2012
"Spatial Regression and Spatial Econometrics" - Monday, July 30, 2012 to Thursday, August 2, 2012

For course registration and more information:
https://www.geodapress.com/

"Spatial Autocorrelation" provides an introduction to spatial autocorrelation analysis using the latest version of the cross-platform OpenGeoDa software and the open source PySAL library. The focus is on the concept, statistical tests for and interpretation of spatial autocorrelation, one of the most fundamental notions in spatial analysis. The course is aimed at an intermediate audience, and assumes a background in multivariate statistics and some familiarity with GIS. No previous experience with GeoDa/OpenGeoDa or PySAL is required. The emphasis in the course is not on formal mathematical treatments or on the mechanics of the software, but instead the focus is on developing an understanding for the underlying assumptions and limitations, being able to interpret the results and gaining an appreciation for the issues associated with the application of these methods in empirical practice.

"Spatial Regression and Spatial Econometrics" provides an overview of spatial regression analysis for areal unit data using the latest version of the cross-platform OpenGeoDa and GeoDaSpace software and the open source PySAL library. The focus is on the specification, estimation and diagnostics testing in regression models that incorporate spatial effects, both spatial dependence as well as spatial heterogeneity. The course is aimed at an intermediate audience, and assumes a solid background in multivariate regression analysis and/or econometrics. Some familiarity with GIS will be helpful, but is not essential. No previous experience with GeoDa/OpenGeoDa, GeoDaSpace or PySAL is required. The emphasis in the course is not on formal mathematical treatments or on the mechanics of the software, but instead the focus is on developing an understanding for the underlying assumptions and limitations, being able to interpret the results and gaining an appreciation for the issues associated with the application of these methods in empirical practice.

The workshops are designed in a hybrid format, mixing lectures with ongoing hands-on demonstrations, laboratory exercises and Q&A to address participants' questions. There will be ample time to discuss individual research projects in an informal setting.

For more information, please email help@geodapress.com
Comments