PySAL: A Python Library of Spatial Analytical Methods

By Sergio J. Rey, Luc Anselin. 2010

524 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Global and Planetary Change, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/6ac3d1790c7be421f47be53f337c7eda0f57224a

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In Economics and Econometrics

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Citations in the corpus

Thirty years of spatial econometrics (2010, background): “As mentioned earlier, this is accompanied by a virtual explosion of software availability, in particular as part of the open source movement, for example, Bivand (2006); Rey and Anselin (2006, 2007); Bivand et al. (2008); and Rey (2009).”
PASSaGE: Pattern Analysis, Spatial Statistics and Geographic Exegesis. Version 2 (2011, unknown): “Methods in Ecology and Evolution 2010 British Ecological Society, Methods in Ecology and Evolution, 2 229–232 library of Python functions intended to aid the development of applications for spatial analysis (Rey & Anselin 2010).”
Comparing Implementations of Estimation Methods for Spatial Econometrics (2015, methodology): “2 The Python (van Rossum 1995) spatial analysis library (PySAL; Rey and Anselin 2010) 3 has also been launched.”
Reducing Uncertainty in the American Community Survey through Data-Driven Regionalization (2015, methodology): “The algorithm uses only open-source free software and relies heavily on the PySAL library [25]; maps and figures are produced in R using the ggplot2 library [26].”
Convolutional 2D Knowledge Graph Embeddings (2017, methodology): “We use the PySal package [25] to carry out the test.”
Dynamics, Space, and Regional Inequality in Provincial China: A Case Study of Guangdong Province (2012, methodology): “The Markov chain-based analysis was carried out in a software called PySAL (Open Source Python Library for Spatial Analytical Functions) developed by the GeoDa center at Arizona State University (Rey & Anselin, 2010).”
Comparing implementations of global and local indicators of spatial association (2018, methodology): “2 ArcGIS As Scott and Janikas (2010) recount, spatial statistics tools were added to ArcGIS 9 from 2004; as this release of ArcGIS supports Python as a tool and procedure development language, this is how the tools are written.”