1.2 Sample Data Sets
As in Volume 1, the methods and software are illustrated by means
of empirical examples that are available directly
from inside the GeoDa software. In Volume 2, only a subset of the full slate
of sample data are used.
These are:
- Italian community banks (n=261)
- bank performance indicators for 2011-17 (used by Algeri et al. 2022)
- see Chapters 2 through 4
- Chicago CCA Profiles (n=77)
- socio-economic snapshot for Chicago Community Areas in 2020 (American Community Survey from the Chicago Metropolitan Agency for Planning - CMAP - data portal)
- see Chapter 5
- Chicago Census Tracts (n=791)
- socio-economic determinants of health in 2014 (a subset of the data used in Kolak et al. 2020)
- see Chapters 6 through 7
- Spirals (n=300)
- canonical data set to test spectral clustering
- see Chapter 8
- Municipalities in the State of Ceará, Brazil (n=184)
- Zika and Microcephaly infections and socio-economic profiles for 2013-2016 (adapted from Amaral et al. 2019)
- see Chapters 9 through 12
Further details are provided in the context of specific methods.