The PySAL Ecosystem: Philosophy and Implementation

Rey, Sergio J., Anselin, Luc, Amaral, Pedro, Arribas-Bel, Dani, Cortes, Renan Xavier, Gaboardi, James David, Kang, Wei, Knaap, Elijah, Li, Ziqi, Lumnitz, Stefanie, Oshan, Taylor M., Shao, Hu, Wolf, Levi John

PySAL is a library for geocomputation and spatial/geographic data science. Written in Python, the library has a long history of supporting novel science 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 (Rey and Anselin 2007, e.g.). As such, we provide an introduction to the library as it stand snow, as well as the scientific and conceptual underpinnings of its core set of authors.Finally, we provide a prospective look at the library’s future evolution.