About the authors
Sergio Rey is professor of geographical sciences and
core faculty member of the GeoDa Center for Geospatial Analysis and
Computation at the Arizona State University. His research interests include
open science, spatial and spatio-temporal data analysis, spatial econometrics,
visualization, high performance geocomputation, spatial inequality dynamics,
integrated multiregional modeling, and regional science. He co-founded the
Python Spatial Analysis Library (PySAL) in 2007 and continues to direct the
PySAL project. Rey is a fellow of the spatial econometrics association and
editor of the journal Geographical Analysis.
Dani Arribas-Bel is Lecturer in Geographic Data Science
and member of
the Geographic Data Science Lab at the University of Liverpool (UK). Dani is
interested in
undestanding cities as well as in the quantitative and computational methods
required
to leverage the power of the
large amount of urban data increasingly becoming available. He is also part of
the team
of core developers of PySAL, the open-source library written in Python for
spatial
analysis. Dani regularly teaches Geographic Data Science and Python courses at
the
University of Liverpool and has designed and developed several workshops at
different
levels on spatial analysis and econometrics, Python and open source scientific
computing.
Acknowledgements
This document has also received contributions from the following people:
- Levi John Wolf.
- Wei Kan.