Data and automation in scientific visualization rendering: operational images at Hesse Meteorological Station
DOI:
https://doi.org/10.4013/fem.2020.223.05Abstract
In this paper, we discuss the ways of seeing through software visualizations in scientific investigations, examining the processes that generate visualizations in a meteorological station in Germany. By clarifying the mediality of these technical images, we contradict the argument made by Chris Anderson that computational would have broader access to the real, which would oust theoretical inquiry from the sciences. With the theoretical contribution of Crary, Farocki, Flusser and Edwards, we argue that computational images are produced algorithmically after the data collection, carrying with it their theoretical and epistemological assumptions which become concealed when one does not takes into account this level of mediation. We consider data acquisition, image rendering and observation as three separate processes that, together, form a specific medial “configuration” to scientific visualization. We conclude by reaffirming the importance of Media Studies and Digital Humanities in the study of visualization mediated by computational materialities.
Keywords: Computational images. Digital humanities. Rendering.
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