“…Urban science, sitting at the intersection of city planning, geography, and computational data science, aims to advance our knowledge of cities' fundamental patterns and relationships by modeling spatial big data (Alberti, 2017;Acuto, Parnell, & Seto, 2018;Batty, 2013Batty, , 2019Barthelemy, 2019;Kang et al, 2019;Kitchin, 2016;Kontokosta, 2018;Lobo et al, 2020;Mattern, 2013;Sallis et al, 2016;Solecki, Seto, & Marcotullio, 2013). Despite urban science's recent bold claims to a "new kind of science," urban geographers, sociologists, and planners have of course long investigated cities' patterns and processes through spatial data, mathematical models, and the scientific method (Batty, 1971(Batty, , 1980Behrend & Levin-Keitel, 2020;Bertuglia, Bianchi, & Mela, 1998;Branch, 1966; Burgess, 1925;Derudder & van Meeteren, 2019;Hoyt, 1951;Johannesen, Olaisen, & Olsen, 1998;Lee, 1973Lee, , 1994O'Sullivan & Manson, 2015). Computational geography itself now has a long history, yet, too often, geographic science and domain theory fail to fully permeate our computational tools (Arribas-Bel & Reades, 2018;Gahegan, 1999Gahegan, , 2018Gahegan, , 2020Harris et al, 2017;Singleton & Arribas-Bel, 2019).…”