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Open AccessFeature PaperArticle

The Use of Geonarratives to Add Context to Fine Scale Geospatial Research

Department of Geography, GIS, Health & Hazards Lab, Kent State University, Kent, OH 44240, USA
Department of Social Science, Missouri Southern State University, Joplin, MO 64801, USA
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(3), 515;
Received: 20 December 2018 / Revised: 4 February 2019 / Accepted: 7 February 2019 / Published: 12 February 2019
There has been a move towards using mixed method approaches in geospatial research to gain context in understanding health related social patterns and processes. The central premise is that official data is often too reductionist and misses’ nuances that can help explain causality. One example is the geonarrative, a spatially relevant commentary or interview that can be mapped by content and/or location. While there have been several examples of geonarratives being used by researchers, there is no commonly available software that can easily transfer the associated text into spatial data. Having a standardized software platform is vital if these methods are to be used across different disciplines. This paper presents an overview of a solution, Wordmapper (WM), which is a standalone software developed to process geonarratives from a transcription and associated global positioning system (GPS) path. Apart from querying textual narrative data, Wordmapper facilitates qualitative coding which could be used to extract latent contextual information from the narratives. In order to improve interoperability, Wordmapper provides spatialized narrative data in formats, such as ESRI shape files, Keyhole Markup Language (KML), and Comma Separated Values (CSV). A case study based on five different spatial video geonarratives (SVG) collected to assess the human impacts following the 2011 Joplin, Missouri are used for illustration. View Full-Text
Keywords: Spatial Video; Geonarratives; GIS, Geo-computation Spatial Video; Geonarratives; GIS, Geo-computation
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MDPI and ACS Style

Ajayakumar, J.; Curtis, A.; Smith, S.; Curtis, J. The Use of Geonarratives to Add Context to Fine Scale Geospatial Research. Int. J. Environ. Res. Public Health 2019, 16, 515.

AMA Style

Ajayakumar J, Curtis A, Smith S, Curtis J. The Use of Geonarratives to Add Context to Fine Scale Geospatial Research. International Journal of Environmental Research and Public Health. 2019; 16(3):515.

Chicago/Turabian Style

Ajayakumar, Jayakrishnan; Curtis, Andrew; Smith, Steve; Curtis, Jacqueline. 2019. "The Use of Geonarratives to Add Context to Fine Scale Geospatial Research" Int. J. Environ. Res. Public Health 16, no. 3: 515.

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