TY - JOUR
T1 - The PySAL Ecosystem
T2 - Philosophy and Implementation
AU - Rey, Sergio J.
AU - Anselin, Luc
AU - Amaral, Pedro
AU - Arribas-Bel, Dani
AU - Cortes, Renan Xavier
AU - Gaboardi, James David
AU - Kang, Wei
AU - Knaap, Elijah
AU - Li, Ziqi
AU - Lumnitz, Stefanie
AU - Oshan, Taylor M.
AU - Shao, Hu
AU - Wolf, Levi John
N1 - Publisher Copyright:
© 2021 The Ohio State University.
PY - 2022/7
Y1 - 2022/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85107279674&partnerID=8YFLogxK
U2 - 10.1111/gean.12276
DO - 10.1111/gean.12276
M3 - Article
AN - SCOPUS:85107279674
SN - 0016-7363
VL - 54
SP - 467
EP - 487
JO - Geographical Analysis
JF - Geographical Analysis
IS - 3
ER -