Do I live in a flood basin?

Elías, Miguel; Elson, Jeremy; Fisher, Danyel; Howell, Jon

doi:10.1145/1357054.1357100

Cited by 12 publications

(1 citation statement)

References 5 publications

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“…In more recent years, the availability of powerful API for web-based map systems has made it possible to overlay geospatial data on interactive maps in a wide range of applications [27]. This is achieved using layers of data, which can be turned on and off to show or hide different data sets that the users are familiar with [33]. Maps are also being used increasingly as the underlying framework for a wide range of decision support systems, web-based information systems and computer games targeting environmental issues [30].…”

Section: Interactive Mapsmentioning

confidence: 99%

Exploring Environmental and Geographical Factors Influencing the Spread of Infectious Diseases with Interactive Maps

Luz

Masoodian

2022

Sustainability

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Environmental problems due to human activities such as deforestation, urbanisation, and large scale intensive farming are some of the major factors behind the rapid spread of many infectious diseases. This in turn poses significant challenges not only in as regards providing adequate healthcare, but also in supporting healthcare workers, medical researchers, policy makers, and others involved in managing infectious diseases. These challenges include surveillance, tracking of infections, communication of public health knowledge and promotion of behavioural change. Behind these challenges lies a complex set of factors which include not only biomedical and population health determinants but also environmental, climatic, geographic, and socioeconomic variables. While there is broad agreement that these factors are best understood when considered in conjunction, aggregating and presenting diverse information sources requires effective information systems, software tools, and data visualisation. In this article, we argue that interactive maps, which couple geographical information systems and advanced information visualisation techniques, provide a suitable unifying framework for coordinating these tasks. Therefore, we examine how interactive maps can support spatial epidemiological visualisation and modelling involving distributed and dynamic data sources and incorporating temporal aspects of disease spread. Combining spatial and temporal aspects can be crucial in such applications. We discuss these issues in the context of support for disease surveillance in remote regions, utilising tools that facilitate distributed data collection and enable multidisciplinary collaboration, while also providing support for simulation and data analysis. We show that interactive maps deployed on a combination of mobile devices and large screens can provide effective means for collection, sharing, and analysis of health data.

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Section: Interactive Mapsmentioning

confidence: 99%

Exploring Environmental and Geographical Factors Influencing the Spread of Infectious Diseases with Interactive Maps

Luz

Masoodian

2022

Sustainability

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MapMosaic: dynamic layer compositing for interactive geovisualization

Lobo

Appert

Pietriga

2017

International Journal of Geographical Information Science

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GIS software applications and other mapping tools enable users to correlate data from multiple layers and gain insight from the resulting visualizations. However, most of these applications only feature basic, monolithic layer compositing techniques. These techniques do not always support users effectively in their tasks, as we observed during interviews with GIS experts. We introduce MapMosaic, a novel approach based on dynamic visual compositing that enables users to interactively create and manipulate local composites of multiple vector and raster map layers, taking into account the semantics and attribute values of objects and fields in the compositing process. We evaluate MapMosaic's interaction model against that of QGIS (a widely-used desktop GIS) and MAPublisher (a professional cartography tool) using the "Cognitive Dimensions" framework and through an analytical comparison, showing that MapMosaic's model is more flexible and can support users more effectively in their tasks. We also report on feedback obtained from experts, which further confirms the potential of this highly dynamic approach to map layer compositing.

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ARIES: Enabling Visual Exploration and Organization of Art Image Collections

Crissaff

Ruby²,

Deutch³

et al. 2018

IEEE Comput. Grap. Appl.

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Art historians have traditionally used physical light boxes to prepare exhibits or curate collections. On a light box, they can place slides or printed images, move the images around at will, group them as desired, and visual-ly compare them. The transition to digital images has rendered this workflow obsolete. Now, art historians lack well-designed, unified interactive software tools that effectively support the operations they perform with physi-cal light boxes. To address this problem, we designed ARIES (ARt Image Exploration Space), an interactive image manipulation system that enables the exploration and organization of fine digital art. The system allows images to be compared in multiple ways, offering dynamic overlays analogous to a physical light box, and sup-porting advanced image comparisons and feature-matching functions, available through computational image processing. We demonstrate the effectiveness of our system to support art historians tasks through real use cases.

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Do I live in a flood basin?

Cited by 12 publications

References 5 publications

Exploring Environmental and Geographical Factors Influencing the Spread of Infectious Diseases with Interactive Maps

Exploring Environmental and Geographical Factors Influencing the Spread of Infectious Diseases with Interactive Maps

MapMosaic: dynamic layer compositing for interactive geovisualization

ARIES: Enabling Visual Exploration and Organization of Art Image Collections

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