Mapping Continuous Geographical Distributions Using Dot-Density Shading

Lavin, Stephen

doi:10.1559/152304086783900068

Cited by 18 publications

(6 citation statements)

References 6 publications

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“…In this study, we present a graduated symbol map in which data are classified into different classes that are then correlated with a given size of the symbol. Dot‐density map : Dot‐density or density point map uses dots or points placed on a map. Each dot represents a specific number of epidemiological events (Lavin, ). Unlike the graduated symbol maps, all points are of the same size.…”

Section: Methodsmentioning

confidence: 99%

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Discussing State‐of‐the‐Art Spatial Visualization Techniques Applicable for the Epidemiological Surveillance Data on the Example of Campylobacter spp. in Raw Chicken Meat

Plaza‐Rodríguez

Appel

Kaesbohrer

et al. 2015

Zoonoses and Public Health

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Within the European activities for the 'Monitoring and Collection of Information on Zoonoses', annually EFSA publishes a European report, including information related to the prevalence of Campylobacter spp. in Germany. Spatial epidemiology becomes here a fundamental tool for the generation of these reports, including the representation of prevalence as an essential element. Until now, choropleth maps are the default visualization technique applied in epidemiological monitoring and surveillance reports made by EFSA and German authorities. However, due to its limitations, it seems to be reasonable to explore alternative chart type. Four maps including choropleth, cartogram, graduated symbols and dot-density maps were created to visualize real-world sample data on the prevalence of Campylobacter spp. in raw chicken meat samples in Germany in 2011. In addition, adjacent and coincident maps were created to visualize also the associated uncertainty. As an outcome, we found that there is not a single data visualization technique that encompasses all the necessary features to visualize prevalence data alone or prevalence data together with their associated uncertainty. All the visualization techniques contemplated in this study demonstrated to have both advantages and disadvantages. To determine which visualization technique should be used for future reports, we recommend to create a dialogue between end-users and epidemiologists on the basis of sample data and charts. The final decision should also consider the knowledge and experience of end-users as well as the specific objective to be achieved with the charts.

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Section: Methodsmentioning

confidence: 99%

“…Dot-density map: Dot-density or density point map uses dots or points placed on a map. Each dot represents a specific number of epidemiological events (Lavin, 1986). Unlike the graduated symbol maps, all points are of the same size.…”

Section: Choropleth Mapmentioning

confidence: 99%

Discussing State‐of‐the‐Art Spatial Visualization Techniques Applicable for the Epidemiological Surveillance Data on the Example of Campylobacter spp. in Raw Chicken Meat

Plaza‐Rodríguez

Appel

Kaesbohrer

et al. 2015

Zoonoses and Public Health

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show abstract

“…Similarly, some charts use grids of dots to convey proportions [61], and some variants of Euler diagrams exist that decompose areas into discrete sets of unit objects [61]. An alternative approach, used for example in dot density maps [51], consists of encoding values with dot density instead of dot cardinality. Although variants of all these visualizations exist that use icons or symbols instead of dots [25,35], the primary encoding relies on dot cardinality or density, while dot appearance is secondary.…”

Section: Dot-based Visualizationsmentioning

confidence: 99%

Dynamic Composite Data Physicalization Using Wheeled Micro-Robots

Goc

Périn²,

Follmer

et al. 2019

IEEE Trans. Visual. Comput. Graphics

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This paper introduces dynamic composite physicalizations, a new class of physical visualizations that use collections of self-propelled objects to represent data. Dynamic composite physicalizations can be used both to give physical form to well-known interactive visualization techniques, and to explore new visualizations and interaction paradigms. We first propose a design space characterizing composite physicalizations based on previous work in the fields of Information Visualization and Human Computer Interaction. We illustrate dynamic composite physicalizations in two scenarios demonstrating potential benefits for collaboration and decision making, as well as new opportunities for physical interaction. We then describe our implementation using wheeled micro-robots capable of locating themselves and sensing user input, before discussing limitations and opportunities for future work.

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“…Nevertheless, it should be pointed out that these arguments, and the research conducted to support them, focused exclusively on traditional paper maps. Elsewhere in cartography, it was recognised early that adding interactivity to maps could help us move beyond the single-optimal-map paradigm (Lavin, 1986;MacEachren and Ganter 1990) and that interactivity can help to solve some of the long-standing problems with map reading (Dykes and Unwin, 1998;Peterson, 1999).…”

Section: New Technology Changes Old Argumentsmentioning

confidence: 99%

Unclassed Animated Choropleth Maps

Harrower¹

2007

The Cartographic Journal

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The potential of unclassed animated choropleth maps as a solution to false patterns of geographic change arising from data classification is investigated. Old concerns about unclassed choropleth maps may be mitigated through map interactivity that offers four advantages over traditional data legends, and previous insights from testing static choropleth maps do not necessarily translate to animated cartography. Data from user testing revealed unclassed animated choropleth maps neither help nor hurt the ability of map readers to understand patterns of geographic change. However, the unclassed map (1) appeared 'less jumpy' to participants and was perceived to run at a slower pace (despite running at the same number of frames per second), and (2) subtle geographic shifts (e.g., seasonal unemployment cycles) were more readily noticed on the unclassed maps. Preliminary results also suggest classed data emphasise stability over time -while their unclassed counterparts improve our ability to see changes. This paper also outlines animated simultaneous contrast as a new perceptual issue in the creation of animated choropleth maps.

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Mapping Continuous Geographical Distributions Using Dot-Density Shading

Cited by 18 publications

References 6 publications

Discussing State‐of‐the‐Art Spatial Visualization Techniques Applicable for the Epidemiological Surveillance Data on the Example of Campylobacter spp. in Raw Chicken Meat

Discussing State‐of‐the‐Art Spatial Visualization Techniques Applicable for the Epidemiological Surveillance Data on the Example of Campylobacter spp. in Raw Chicken Meat

Dynamic Composite Data Physicalization Using Wheeled Micro-Robots

Unclassed Animated Choropleth Maps

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