“…As a software library, PySAL is relied upon by a number of upstream packages to develop specialized tools for spatial analysis, prominent examples include geopandas , geoplot , momepy , and geosnap . PySAL is also used in the analysis by researchers of a wide array of topics across many disciplines including political science (Ingram and Harbers 2019), criminology (Jendryke and McClure 2019), economics (Felkner and Townsend 2011), planning (Nourian, Ohori, and Martinez‐Ortiz 2018), public health (Joo 2017), engineering (Fan et al 2018), environmental science (Heilmayr and Lambin 2016), chemistry (Spiridon and Minh 2017), physics (Jakubska‐Busse et al 2018), religion (Ferguson and Tamburello 2015), biology (Noorbakhsh et al 2019), neuroscience (Burt et al 2018), epidemiology (Hughes et al 2014), technology forecasting (Kwakkel et al 2014), climate change (Ozturk et al 2016), organizational dynamics (Vaz et al 2017), information visualization (Cottam and Lumsdaine 2012), ecology (Theodoridis, Nogués‐Bravo, and Conti 2019), and sociology (Manduca and Sampson 2019), among others.…”