Schwartz and colleagues treat urban affect as a temporally traceable environmental response rather than an exclusively introspective state. Their iconic proposition is that park visitation leaves a measurable linguistic afterimage: sentiment rises during exposure and remains elevated for hours, while negation terms recede. The work’s theoretical contribution lies in joining landscape experience to computational social science without reducing either to a simple proxy, since vegetative intensity, park typology and temporal sequence become differentiated explanatory variables. Methodologically, geolocated tweets are aligned with park boundaries and analysed through the Hedonometer, converting ordinary public language into a distributed sensor of mood. The operation is both powerful and precarious: affect becomes observable at metropolitan scale, yet only through platform users, lexical averages and uneven digital participation. Its wider intellectual bridge reaches environmental psychology, critical data studies and urban public-health planning by demonstrating that public space can be studied as an affective infrastructure whose effects exceed the duration of physical presence.