Rey, Sergio J, Anselin, Luc, Amaral, Pedro, Arribas-Bel, Dani 
ORCID: 0000-0002-6274-1619, Cortes, Renan Xavier, Gaboardi, James David, Kang, Wei, Knaap, Elijah, Li, Ziqi, Lumnitz, Stefanie et al (show 3 more authors)
(2022)
The PySAL Ecosystem: Philosophy and Implementation.
GEOGRAPHICAL ANALYSIS, 54 (3).
pp. 467-487.
ISSN 0016-7363, 1538-4632
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Abstract
<jats:p>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.</jats:p>
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 37 Earth Sciences, 3709 Physical Geography and Environmental Geoscience, 4406 Human Geography, 44 Human Society, Data Science, Generic health relevance |
| Divisions: | Faculty of Science and Engineering > School of Environmental Sciences |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 30 Aug 2023 08:31 |
| Last Modified: | 21 Dec 2024 16:05 |
| DOI: | 10.1111/gean.12276 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3129802 |
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