Over the last decade, street-view type images have been used across
disciplines to generate and understand various place-based metrics. However
efforts to collect this data were often meant to support investigator-driven
research without regard to the utility of the data for other researchers. To
address this, we describe our methods for collecting and publishing
longitudinal data of this type in the wake of the COVID-19 pandemic and discuss
some of the challenges we encountered along the way. Our process included
designing a route taking into account both broad area canvassing and community
capitals transects. We also implemented procedures for uploading and publishing
data from each survey. Our methods successfully generated the kind of
longitudinal data that can be beneficial to a variety of research disciplines.
However, there were some challenges with data collection consistency and the
sheer magnitude of data produced. Overall, our approach demonstrates the
feasibility of generating longitudinal street-view data in the wake of a
disaster event. Based on our experience, we provide recommendations for future
researchers attempting to create a similar data set.Comment: 11 pages, 2 figures, 1 tabl