Abstract
ABSTRACT Studies of human spatial behavior increasingly rely on a combination of audiovisual and geospatial recordings. So far, however, few analytical environments have offered opportunities for integrated and expedient annotation and analysis of the two. Here we report the first study aimed at integrating geospatial data in an environment developed for time-aligned annotation of audiovisual media. By calibrating the audiovisual and geospatial signals on the timeline and inserting the geo data as a tier in the annotation tool ELAN, we innovatively generate an environment in which time-aligned annotations of audiovisually observed behavior can be linked and explored in relation to the corresponding geographical coordinates. We illustrate the technique with cultural and linguistic behavior recorded on the move among indigenous communities in Southeast Asia. Our methodological principle is of potential interest to any study or discipline concerned with linking the location and properties of observable behavior.
Highlights
Audiovisual recording is a well-established method in the humanities and social sciences (Ashmore, 2008; Bates, 2015; Jewitt, 2012; Margolis & Pauwels, 2011; Spencer, 2010)
Studies of human spatial behavior increasingly rely on a combination of audiovisual and geospatial recordings
By calibrating the audiovisual and geospatial signals on the timeline and inserting the geo data as a tier in the annotation tool ELAN, we innovatively generate an environment in which time-aligned annotations of audiovisually observed behavior can be linked and explored in relation to the corresponding geographical coordinates
Summary
Audiovisual recording is a well-established method in the humanities and social sciences (Ashmore, 2008; Bates, 2015; Jewitt, 2012; Margolis & Pauwels, 2011; Spencer, 2010). Social sciences has been limited so far but this is likely to change in the near future (see, e.g., Cialone, 2019) An obstacle to this development is the lack of dedicated analytical environments in which synchronous audiovisual and geospatial data can be integrated and explored. Recorded geospatial data are point-based and are effectively a temporal data stream: each logged point is timestamped and can be represented as plain text on a timeline This is why integration with existing tools for time-aligned, linguistic annotations are of special interest, since this ensures that users do not have to relearn software-specific workflows. Its principles pave the way for a new line of high-resolution analysis in the spatio-temporal dimensions, of potential interest to any study or discipline concerned with linking the location and properties of observable behavior
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