Supplementary materials for "Towards a study of everyday geographic information: Bringing the everyday into view"

<p>This repository includes the code, logs and outputs that support the findings of this study published in the paper listed below (De Sabbata et al., <em>forthcoming</em>). The documents include code developed in R, RMarkdown (alongside the HTML files obtained by compiling it) and Python, as well as a document reporting the F1 scores for each one of the two classification models.</p> <p><br></p> <p>De Sabbata, S., Bennett, K., & Gardner, Z. (<em>forthcoming</em>). Towards a study of everyday geographic information: Bringing the everyday into view. <em>Environment and Planning B: Urban Analytics and City Science</em>. https://doi.org/10.1177/23998083231217606</p>