Same space – different perspectives: comparative analysis of geographic context through sketch maps and spatial video geonarratives

Curtis, Andrew; Curtis, Jacqueline; Ajayakumar, Jayakrishnan; Jefferis, Eric; Mitchell, Susanne

doi:10.1080/13658816.2018.1514609

Cited by 15 publications

(14 citation statements)

References 35 publications

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“…Developing Wordmapper, however, is only the opening to many other strands of associated research on the technique itself. It has previously been suggested by Curtis and colleagues that comments are either spatially precise (for example “people were injured in this building here”), spatially fuzzy (“all around this area the sirens couldn’t be heard”) and spatially inspired (“I’ve heard a lot of people complaining about dust”) [4]. It would be interesting to see the proportion of comments falling into these categories, and then how each was cued in the narrative.…”

Section: Discussionmentioning

confidence: 99%

“…Indeed, the addition of context into geospatial health research is imperative if researchers are to understand the process, as well as outcome [1] addressing what Kwan describes as “ the uncertain geographic context problem ” [2,3]. Environmentally inspired narratives, or geonarratives, provide a new means to collect spatially anchored insight [4,5,6,7]. The rationale is compelling, have someone who knows about/is impacted by an event talk about what has happened/is happening.…”

Section: Introductionmentioning

confidence: 99%

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

Ajayakumar

Curtis

Smith

et al. 2019

IJERPH

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Ajayakumar

Curtis

Smith

et al. 2019

IJERPH

Self Cite

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“…Besides data in the traditional sense, GIS studies embrace dialectics, narratives, semantics, and semiotics (e.g., Brennan‐Horley et al . 2010; Travis, 2014; Egorova et al ., 2018; Curtis et al ., 2019). Bergmann and Lally (2021) advocated for novel geographic imagination systems centering upon space‐producing processes that enfold and entwine space with phenomena.…”

Section: The Need For Adjustments and Corrections To Flaws In Gismentioning

confidence: 99%

Cogitating on GIS. Response to David O'Sullivan and Matthew Wilson

Yuan

2021

Singap J Trop Geogr

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“…It has been applied widely in qualitative geographic information analyses to depict spatial narratives of groups or individuals [24]. Contemporary researchers frequently apply this tool in emotional mapping [41], or as complementary means with spatial video geonarratives [42], or human sensory information [43].…”

Section: Data Collectionmentioning

confidence: 99%

GIS-Based Statistical Analysis of Detecting Fear of Crime with Digital Sketch Maps: A Hungarian Multicity Study

Jakobi

Pődör

2020

IJGI

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This study evaluates fear of crime perception and official crime statistics in a spatial context, by applying digital sketch maps and statistical GIS methods. The study aims to determine explanatory motives of fear of crime by comparing results of selected large, medium and small sized Hungarian cities. Fear of crime information of residents were collected by using a web application, which gave the possibility to mark regions on a map, where respondents have a sense of safety or feel fear. These digital sketch maps were processed by GIS tools, and were converted to grid data, in order to calculate comparable explanatory variables for fear of crime analysis. The grid-based normalised model reflected some similarities and differences between the observed cities. According to the outcomes, examples were found both in coincidences and opposite correlations of crime statistics and perception of unsafe places, highlighting the importance of locality in fear of crime research. Additionally, the results mirrored that the size of the city or the respondent's sex does not significantly influence the overall judgment of places, rather the absolute number of safe markings and the local number of registered crime events could affect local results.Although numerous studies have proved that various spatial factors can trigger fear of crime, the fact is that crime rates in certain areas are not necessarily as high as expected [16,17], consequently, additional explanatory factors should be considered as well. Doran and Lees [18], for example, found relationship between fear of crime and physical disorder. Later, Doran and Burgess [3] proved that the environment in general plays an important role in fear of crime. It was recently shown that even improvements in the environment can have a positive effect on reducing fear of crime [19]. Furthermore, a large amount of studies confirmed that fears of crime are concentrated in areas, which can be described by definite environmental characteristics. For example Lederer and Leitner [20] concluded that fear of being a victim of burglary can be assigned to well-defined geographical hot spots, as well as it is connected with definite statistical features and even with areas having less technical protection.A typical problem of mapping fear of crime, though, is the lack of data on location perceptions. In many countries police have not completed any survey on this topic, therefore, their own data surveys should be made to accumulate information from, e.g., questionnaires [21] or from digital sketch maps, which would conceivably quantify-in a specific way-the level and the area of fear of crime within a city [22][23][24][25][26]. Additionally, several contemporary research papers on fear of crime apply modern IT technologies to draw a more precise picture of the issue. For example Solymosi et al. [27] developed a FOCA application (fear of crime application), which investigates fear of crime as a dynamic phenomenon by tracing the participants' activities, and in this way, the avoidance of ce...

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Same space – different perspectives: comparative analysis of geographic context through sketch maps and spatial video geonarratives

Cited by 15 publications

References 35 publications

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

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

Cogitating on GIS. Response to David O'Sullivan and Matthew Wilson

GIS-Based Statistical Analysis of Detecting Fear of Crime with Digital Sketch Maps: A Hungarian Multicity Study

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