This panel session is part of the symposium "Integrating Spatial Statistics within Open Source & Open Science". It features a discussion of an open source package of spatial analysis - Python Spatial Analysis Library (PySAL) - its past, present and future. PySAL have been actively developed since 2009. It incorporates modules focusing on suites of analytical methods, data structures and algorithms, including Exploratory Spatial Data Analysis (ESDA), point pattern analysis, spatial econometrics, spatial dynamics, spatial clustering, Geovisualization, Geographically Weighted Regression (GWR) etc.
The rapid development of PySAL for including more state-of-art spatially explicit methods has pose issues to maintenance and testing. It has now come into a phase that the traditional mode of a monolithic package composed of a number of core modules need to be adjusted or revolutionized to facilitate a healthy and sustainable development of PySAL.
Panelists will include the lead developers of PySAL as well as researchers who has been actively using PySAL for solving spatial problems.
|Introduction||Levi Wolf University of Bristol||10|
|Panelist||James Gaboardi Florida State University||10|
|Panelist||Wei Kang Arizona State University||10|
|Panelist||Hu Shao Arizona State University||10|
|Panelist||Taylor Oshan Arizona State University||10|
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