SpaceLog: An app for collecting multi-modal place-based data

Collecting multi-modal data in the context of self-reported health relies on a well established inventory of qualitative methods like go-along interviews or photo documentations. Building on and aiming at established workflows of place- based GIS, in this paper, we present our mobile application SpaceLog and an associated dashboard meant to provide a digital means to collect rich multimodal place- based data (speech, audio, emotions) enabling mixed-method analyses addressing qualitative empirical research on place-based individual wellbeing.

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Publication Details

Journal
Technische Universität Berlin – Universitätsbibliothek
Published
2025-05-16
DOI
https://doi.org/10.14279/eceasst.v85.2698
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

SpaceLog: An app for collecting multi-modal place-based data

Technische Universität Berlin – Universitätsbibliothek
Geographic Information Systems Studies
article

SpaceLog: An app for collecting multi-modal place-based data

article en

Abstract

Collecting multi-modal data in the context of self-reported health relies on a well established inventory of qualitative methods like go-along interviews or photo documentations. Building on and aiming at established workflows of place- based GIS, in this paper, we present our mobile application SpaceLog and an associated dashboard meant to provide a digital means to collect rich multimodal place- based data (speech, audio, emotions) enabling mixed-method analyses addressing qualitative empirical research on place-based individual wellbeing.

Technische Universität Berlin – Universitätsbibliothek
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Openalex Percentile: Top 26%
Geographic Information Systems Studies
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SpaceLog: An app for collecting multi-modal place-based data · Technische Universität Berlin – Universitätsbibliothek (2025) | TGRS Research Map | TGRS