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

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  • Jayakrishnan Ajayakumar

    (Department of Geography, GIS, Health & Hazards Lab, Kent State University, Kent, OH 44240, USA)

  • Andrew Curtis

    (Department of Geography, GIS, Health & Hazards Lab, Kent State University, Kent, OH 44240, USA)

  • Steve Smith

    (Department of Social Science, Missouri Southern State University, Joplin, MO 64801, USA)

  • Jacqueline Curtis

    (Department of Geography, GIS, Health & Hazards Lab, Kent State University, Kent, OH 44240, USA)

Abstract

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.

Suggested Citation

  • Jayakrishnan Ajayakumar & Andrew Curtis & Steve Smith & Jacqueline Curtis, 2019. "The Use of Geonarratives to Add Context to Fine Scale Geospatial Research," IJERPH, MDPI, vol. 16(3), pages 1-15, February.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:3:p:515-:d:205083
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    References listed on IDEAS

    as
    1. Andrew Curtis & Jacqueline W. Curtis & Lauren C. Porter & Eric Jefferis & Eric Shook, 2016. "Context and Spatial Nuance Inside a Neighborhood's Drug Hotspot: Implications for the Crime–Health Nexus," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(4), pages 819-836, July.
    2. Dominique Duval-Diop & Andrew Curtis & Annie Clark, 2010. "Enhancing equity with public participatory GIS in hurricane rebuilding: faith based organizations, community mapping, and policy advocacy," Community Development, Taylor & Francis Journals, vol. 41(1), pages 32-49, January.
    3. Andrew Curtis & Jason K. Blackburn & Sarah L. Smiley & Minmin Yen & Andrew Camilli & Meer Taifur Alam & Afsar Ali & J. Glenn Morris, 2016. "Mapping to Support Fine Scale Epidemiological Cholera Investigations: A Case Study of Spatial Video in Haiti," IJERPH, MDPI, vol. 13(2), pages 1-13, February.
    4. Bell, Sarah L. & Phoenix, Cassandra & Lovell, Rebecca & Wheeler, Benedict W., 2015. "Seeking everyday wellbeing: The coast as a therapeutic landscape," Social Science & Medicine, Elsevier, vol. 142(C), pages 56-67.
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    Cited by:

    1. Jayakrishnan Ajayakumar & Andrew J. Curtis & Vanessa Rouzier & Jean William Pape & Sandra Bempah & Meer Taifur Alam & Md. Mahbubul Alam & Mohammed H. Rashid & Afsar Ali & John Glenn Morris, 2022. "Spatial Video and EpiExplorer: A Field Strategy to Contextualize Enteric Disease Risk in Slum Environments," IJERPH, MDPI, vol. 19(15), pages 1-18, July.
    2. Alina Ristea & Michael Leitner & Bernd Resch & Judith Stratmann, 2021. "Applying Spatial Video Geonarratives and Physiological Measurements to Explore Perceived Safety in Baton Rouge, Louisiana," IJERPH, MDPI, vol. 18(3), pages 1-19, January.

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