Abstract
PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a long history of supporting novel scholarship and broadening methodological impacts far afield of academic work. Recently, many new techniques, methods of analyses, and development modes have been implemented, making the library much larger and more encompassing than that previously discussed in the literature. As such, we provide an introduction to the library as it stands now, as well as the scientific and conceptual underpinnings of its core set of components. Finally, we provide a prospective look at the library’s future evolution.
Sergio Rey
Director and Professor
My research interests include geographic information science, spatial inequality dynamics, regional science, spatial econometrics, and spatial data science.
Dani Arribas-Bel
Professor of Geographic Data Science
I am Professor in Geographic Data Science at the Department of Geography and Planning of the University of Liverpool (UK), and Deputy Programme Director for Urban Analytics at the Alan Turing Institute , where I am also ESRC Fellow. At Liverpool, I am a member of the Geographic Data Science Lab.
Wei Kang
Assistant Professor
Wei Kang is an Assistant Professor at the University of North Texas with interests in spatial data science, housing, urban & neighborhood change, spatial inequality, and sustainability.
Elijah Knaap
Associate Director & Senior Research Scientist
My research interests include urban inequality, neighborhood dynamics, housing markets, spatial data science, regional science, and housing & land policy.
Levi John Wolf
Senior Lecturer/Associate Professor
I work in spatial data science, building new methods and software to learn new things about social and natural processes.