Ring maps for spatial visualization of multivariate epidemiological data

Battersby, Sarah E.; Stewart, John E.; Fede, Ana Lòpez-De; K, Remington; Mayfield-Smith, Kathy

doi:10.4113/jom.2011.1182

Cited by 15 publications

(11 citation statements)

References 10 publications

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“…Other labeling techniques such as dynamic programming (S5.4), meta‐heuristic (S5.5), matchings (S5.6) and sweep‐line algorithms (S5.7) are rarely used. Fekete and Plaisaint [FP99], Battersby et al [BSF∗11] Kindermann et al [KLW14], and Götzelmann et al [GHS06b] used highly specialized algorithms that do not match any of the listed techniques; details are given in Section 4.1.2.…”

Section: State Of the Artmentioning

confidence: 99%

“…Battersby et al [BSF∗11] proposed ring maps considering a circle as contours. Uniform labels are evenly distributed around the circle such that each label is oriented with the ray that emanates from the center of the circle and goes through the center of the label.…”

Section: State Of the Artmentioning

confidence: 99%

“…Similarly, the length of the leaders (S3.2) is considered to be an important drawing criterion to enforce unambiguity; only two references do not explicitly take leader length into account. Moreover, the spacing between overlapping‐free labels (S3.3) is considered by penalizing distances between labels [HAS04, AHS05, HGAS05, GHS06a, VVAH07, TKS13, BČM14, KLW14, NNR17], by stacking them [FP99, GHS06b, BKSW07, AHS05, HGAS05, HGK14, GHN15], or by distributing them evenly around the image region [BSF∗11]. Further, in 15 references the direction of the leaders (S3.4) is considered as drawing criterion.…”

Section: State Of the Artmentioning

confidence: 99%

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External Labeling Techniques: A Taxonomy and Survey

Bekos¹,

Niedermann

Nöllenburg

2019

Computer Graphics Forum

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External labeling is frequently used for annotating features in graphical displays and visualizations, such as technical illustrations, anatomical drawings, or maps, with textual information. Such a labeling connects features within an illustration by thin leader lines with their labels, which are placed in the empty space surrounding the image. Over the last twenty years, a large body of literature in diverse areas of computer science has been published that investigates many different aspects, models, and algorithms for automatically placing external labels for a given set of features. This state‐of‐the‐art report introduces a first unified taxonomy for categorizing the different results in the literature and then presents a comprehensive survey of the state of the art, a sketch of the most relevant algorithmic techniques for external labeling algorithms, as well as a list of open research challenges in this multidisciplinary research field.

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Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

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External Labeling Techniques: A Taxonomy and Survey

Bekos¹,

Niedermann

Nöllenburg

2019

Computer Graphics Forum

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“…For instance, Karlsson et al 2013have explored donut charts as a means to depict how a particular aspect is distributed across different age categories, and heat map diagrams as a variant of the above mentioned temporal strips. Battersby et al (2011) have explored the use of ensembles of squares, the colours of which represent several aspects of an epidemic, similar to heat map diagrams of one (nominal) dimension. These ensembles, in turn, were positioned in a circle around and linked to a choropleth map.…”

Section: Related Workmentioning

confidence: 99%

Epidemics and pandemics in maps – the case of COVID-19

et al. 2020

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Epidemics and pandemics are geographical in nature and constitute spatial, temporal, and thematic phenomena across large ranges of scales: local infections with a global spread; short-term decisions by governments and institutions with long-term effects; and diverse effects of the disease on many aspects of our lives. Pandemics pose particular challenges to their visual representation by cartographic means. This article briefly summarizes some of these challenges and outlines ways to approach these. We discuss how to use the information usually available for telling the story of an epidemic, illustrated by the example of the 2019-2020 COVID-19 pandemic. The maps attached to this article demonstrate the discussed cartographic means.

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“…Hennig, 2014) and data augmentation (e.g. Battersby, Stewart, Lopez-De Fede, Remington, & Mayfield-Smith, 2011).…”

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confidence: 99%

Summary of activities 2015

Smith

2015

Journal of Maps

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What is a map? A seemingly innocuous question that is deftly handled by the International Cartographic Association (ICA, 2015) as a symbolised representation of geographical reality, representing selected features or characteristics, resulting from the creative effort of its author's execution of choices, and is designed for use when spatial relationships are of primary relevance. With cartography being 'the discipline dealing with the art, science and technology of making and using maps'. Kraak and Ormeling (2010) define maps more simply as 'used to visualize geospatial data'. MacEachren et al. (2004) almost entirely ignore 'map' as a noun and go for the much more encompassing 'geovisualization' stating that it's a process for leveraging. .. data resources to meet scientific and societal needs and a research field that develops visual methods and tools to support a wide array of geospatial data applications.

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Ring maps for spatial visualization of multivariate epidemiological data

Cited by 15 publications

References 10 publications

External Labeling Techniques: A Taxonomy and Survey

External Labeling Techniques: A Taxonomy and Survey

Epidemics and pandemics in maps – the case of COVID-19

Summary of activities 2015

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