This is a quick tour of GeoDa, illustrating its main features for analyzing and visualizing
spatial autocorrelation. It assumes very little, and should be doable “out of the box”
without having to refer to more extensive information. It assumes you are familiar with
the technical concepts related to spatial autocorrelation analysis, and with the basic
operation of GeoDa, as covered in the Introduction to EDA with GeoDa document. It
does not replace the User’s Guide. This note refers to GeoDa 0.9.3., June 4, 2003.
To get started, load the SIDS shape file and make sure the rate variables SIDR74 and
SIDR79 have been constructed. Also, start a second instance of GeoDa with the St Louis
homicide data set. Refer to the Introduction to EDA with GeoDa document for details.