Hierarchical cluster visualization in web mapping systems

Delort, Jean-Yves

doi:10.1145/1772690.1772892

Cited by 11 publications

(7 citation statements)

References 14 publications

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“…It is interesting to note that all of the above chunking and organizing methods have adopted the hierarchical design approach because this allows for the expansion and easy addition of new context types and properties. This is consistent with the findings from Delort (2010) who suggested a tree structure to organize clusters of spatial data in interactive maps. This review also shows different ways of organizing information based on a single context type such as user profile or location (Levandoski et al, 2010;Pires et al, 2010).…”

Section: Chunking and Organizing Of Information By Semanticssupporting

confidence: 92%

Presenting social media information on mobile devices using multiple contexts

Tan

Goh

2015

Aslib Journal of Information Management

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Purpose – Research has shown that when presenting large amounts of social media information on small devices, design should consider multiple contexts which include user preferences, time, location, environment and so on. It should also take into account the purpose of use, for example, the kind of tasks undertaken by users. However, little research has been done on the organization of social media information by multiple context and tasks. The paper aims to discuss these issues. Design/methodology/approach – Using tourism as a domain, the authors conducted a user evaluation study with a prototype to investigate users’ preferred ways of organizing different types of social media information based on multiple contexts. Findings – In this paper, the authors present a sequence of context types for organizing four types of social media information (recommendations, events, friends and media elements). The study revealed that users preferred to view recommendations by location and environment context, events by location and temporal context, contacts by location and identity context and finally, list of media elements by environment and identity context. Research limitations/implications – There may be different sequences of context types for organizing social media information in domains other than tourism. Researchers are encouraged to analyze users’ needs in other domains so as to find their preferred ways of organizing social media information. Practical implications – This paper includes implications for the design and development of user interface, in particular, for mobile applications presenting large amount of social media information. Originality/value – It presents a new way of organizing social media information using multiple context types and with consideration of users’ needs.

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Section: Chunking and Organizing Of Information By Semanticssupporting

confidence: 92%

Presenting social media information on mobile devices using multiple contexts

Tan

Goh

2015

Aslib Journal of Information Management

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“…Previous works propose map designs based on a spatial aggregation of event data and the graphic representation of these aggregates, to alleviate this problem. (Delort, 2010, Meier, 2016. This aggregation can be performed according to the spatial distance between data (two events are aggregated together if the distance between their locations or the graphic distance between their representations on the map is below a specific threshold), or according to a spatial grid (all events covered by a grid's cell are aggregated together).…”

Section: The Role Of Map Design For the Visual Identification Of Structures In Event Data Distributionmentioning

confidence: 99%

COVID-19 geoviz for spatio-temporal structures detection

Gautier

Lobo

Fau

et al. 2021

Proc. Int. Cartogr. Assoc.

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Abstract. The spread of COVID-19 has motivated a wide interest in visualization tools to represent the pandemic’s spatio-temporal evolution. This tools usually rely on dashboard environments which depict COVID-19 data as temporal series related to different indicators (number of cases, deaths) calculated for several spatial entities at different scales (countries or regions). In these tools, diagrams (line charts or histograms) display the temporal component of data, and 2D cartographic representations display the spatial distribution of data at one moment in time. In this paper, we aim at proposing novel visualization designs in order to help medical experts to detect spatio-temporal structures such as clusters of cases and spatial axes of propagation of the epidemic, through a visual analysis of detailed COVID-19 event data. In this context, we investigate and revisit two visualizations, one based on the Growth Ring Map technique and the other based on the space-time cube applied on a spatial hexagonal grid. We assess the potential of these visualizations for the visual analysis of COVID-19 event data, through two proofs of concept using synthetic cases data and web-based prototypes. The Grow Ring Map visualization appears to facilitate the identification of clusters and propagation axes in the cases distribution, while the space-time cube appears to be suited for the identification of local temporal trends.

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“…The marker cluster uses a grouping approach: if the density of markers is too high in a specified area, the markers are grouped and replaced by a cluster object (Fig. 2.1) (Delort, 2010b;Leaflet, 2014;Mahe & Broadfoot, 2010). As a result of the clustering, it is required to introduce a new visual entity to the map that differentiates the cluster object from the single markers.…”

Section: Marker Clustermentioning

confidence: 99%

The Marker Cluster

Meier

2016

International Journal of Agricultural and Environmental Information Systems

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The growing amount of gathered, stored and available data is creating a need for useful mass-data visualizations in many domains. The mapping of large spatial data sets is not only of interest for experts anymore, but, with regard to the latest advances in web cartography, also moves into the domain of public cartographic applications. One interactive web-based cartographic interface design pattern that helps with visualizing and interacting with large, high density data sets is the marker cluster; a functionality already in use in many web-based products and solutions. In this article, the author will present their ongoing research on the problem of “too many markers.” They will present an empirical evaluation and comparison of marker cluster techniques and similar approaches, including heatmaps and tiled heatmaps. They conclude with a first concept for overcoming some of the obstacles that they were able to identify in their study and thereby introduce a new direction for further research.

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Hierarchical cluster visualization in web mapping systems

Cited by 11 publications

References 14 publications

Presenting social media information on mobile devices using multiple contexts

Presenting social media information on mobile devices using multiple contexts

COVID-19 geoviz for spatio-temporal structures detection

The Marker Cluster

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