Design Techniques for COVID-19 Story Maps: A Quantitative Content Analysis

Prestby, Timothy

doi:10.1080/15230406.2022.2102077

Cited by 7 publications

(7 citation statements)

References 26 publications

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“…Here, vividness means maps present facts accurately and are persuasive through their ability to connect with map readers' emotions. Prestby (2022) devised a coding scheme comprised of five major categories including story context, genre, trope, trope techniques, and vividness to analyze a collection of COVID‐19 story maps based on concepts proposed in the map‐based storytelling and vivid cartography.…”

Section: Related Workmentioning

confidence: 99%

“…Such volatility inherent in the definition, connotation, and design patterns of maps is evident in UMIs. While research has characterized the changes in map contents and designs in contemporary map-making practices, these efforts have been limited in scopes, focusing on a small range of topics and map sample scale (Fish, 2020(Fish, , 2021Prestby, 2022). UMIs offer a more comprehensive understanding of the volatile nature of maps with diverse sources, large sample scales, and a wide range of map types.…”

Section: Introductionmentioning

confidence: 99%

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An ontology‐based semantic description model of ubiquitous map images

Jia,

Yang,

Ding

et al. 2024

Transactions in GIS

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Map images with various themes and cartographic representations have become ubiquitous on the Internet. Such ubiquitously and openly accessible data, named ubiquitous map images in this study, are a potential resource for many geographic information applications such as cartographic design. However, there is a semantic gap between the simple physical form and the complex connotation of ubiquitous map images, which hinders their further applications. To mitigate such barrier, this article develops an ontology‐based semantic description model for ubiquitous map images. First, we discuss the design concerns and principles of the semantic description model of ubiquitous map images. Second, three semantic layers of the semantic description model are proposed, that is, image semantic description layer, cognitive tool layer, and information source layer, and detailed semantic description items are defined for each layer. Furthermore, a formalized semantic description model for ubiquitous map images is developed using ontology construction tools, which lays the foundation for automated and fine‐grained reasoning with the information embedded in map images. We construct a small test dataset consisting of weather maps, and use three types of constraints, namely “time‐topic,” “region‐topic,” and “map auxiliary elements” for the semantic retrieval experiments. The experiments show that the proposed semantic ontology model can enable complex semantic retrieval of ubiquitous map images. Finally, the scalability of the model is discussed from three perspectives: the depth of description, the combination with intelligent methods, and the integration with other open knowledge bases. The proposed model provides a semantic label system for applying data‐driven approaches to decode ubiquitous map images, which also paves the path to the development of cartographic theory in the era of information and communications technologies.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An ontology‐based semantic description model of ubiquitous map images

Jia,

Yang,

Ding

et al. 2024

Transactions in GIS

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“…Story maps are narratives that incorporate one or more maps, enriched with text, graphics, multimedia, and interactivity, to convey a story arc, representing a prevalent method of map-based storytelling [22]. A key research question in this domain is how to effectively blend cartography with visual storytelling or vice versa.…”

Section: Map-based Storytellingmentioning

confidence: 99%

“…Maps have inherent storytelling capacity, as "maps and stories are intimately related" [8]. Story maps are one or more maps integrated into a narrative structure following a story arc, often feature a blend of texts, visuals, multimedia, and interactive elements [22]. This unique combination has led to the extensive adoption of story maps in data journalism, where they provide a compelling visual-spatial medium for narratives [29].…”

Section: Introductionmentioning

confidence: 99%

Antarctica storytelling: creating interactive story maps for polar regions with graphic-based approach

Wang,

Zhao

et al. 2024

Vis Comput

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Although story maps have gained popularity for storytelling related to spatial information, existing story maps authoring tools often fall short in delivering diverse narrative forms and struggle to accurately render polar regions due to the limitations of tilebased mapping. In this work, we introduce a graphicbased method to address these challenges, developing a framework specifically designed for creating story maps for polar regions. Our key contribution lies in offering heuristic strategies for story map design, emphasizing their role in effectively visualizing and disseminating polar culture. This paper outlines essential design tasks for story map creation and introduces three pivotal narrative strategies: attention cue, linkage of map with other visual elements, and cartographic interaction. Additionally, we emphasize the significance of storyboard design, focusing on aspects such as logical sequencing, temporal order, map scale and granularity, and interactive design. To validate the effectiveness of our story map design framework, we develop several story map cases centered around the exploration history of Antarctica. These examples highlight the diversity and interactivity in the story maps produced through our methodology. Finally, we explore the challenges and limitations encountered in the process of creating story maps, and from these observations, we identify prospective areas for further research.

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“…Story maps integrate maps and text, organized in the form of focused narratives. They have been used as an engaging method for showing compelling evidence of the rise in global sea levels [46] and the spread of COVID-19 [38]. In the context of data journalism, Song et al [46] studied whether themes (US presidential campaign donations, US coastal sea-level rise), genres (longform infographic, dynamic slideshow), or tropes (color highlighting, leader lines), would influence reader retention or comprehension.…”

mentioning

confidence: 99%

Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation

Fan,

Lei,

Mancenido

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Maps are crucial in conveying geospatial data in diverse contexts such as news and scientific reports. This research, utilizing thematic maps, probes deeper into the underexplored intersection of text framing and map types in influencing map interpretation. In this work, we conducted experiments to evaluate how textual detail and semantic content variations affect the quality of insights derived from map examination. We also explored the influence of explanatory annotations across different map types (e.g., choropleth, hexbin, isarithmic), base map details, and changing levels of spatial autocorrelation in the data. From two online experiments with 𝑁 = 103 participants, we found that annotations, their specific attributes, and map type used to present the data significantly shape the quality of takeaways. Notably, we found that the effectiveness of annotations hinges on their contextual integration. These findings offer valuable guidance to the visualization community for crafting impactful thematic geospatial representations.

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Design Techniques for COVID-19 Story Maps: A Quantitative Content Analysis

Cited by 7 publications

References 26 publications

An ontology‐based semantic description model of ubiquitous map images

An ontology‐based semantic description model of ubiquitous map images

Antarctica storytelling: creating interactive story maps for polar regions with graphic-based approach

Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation

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