2017
DOI: 10.1080/17538947.2017.1327618
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Challenges and strategies for the visual exploration of complex environmental data

Abstract: In this opinion paper, we, a group of scientists from environmental-, geo-, ocean- and information science, argue visual data exploration should become a common analytics approach in Earth system science due to its potential for analysis and interpretation of large and complex spatio-temporal data. We discuss the challenges that appear such as synthesis of heterogeneous data from various sources, reducing the amount of information and facilitating multidisciplinary, collaborative research. We argue that to ful… Show more

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Cited by 15 publications
(6 citation statements)
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“…Although visual exploration interfaces differ in terms of content, offered functionality and visual complexity, they have proven of essential value for knowledge discovery and hypothesis formulation in many domains, including environmental studies (Helbig et al 2017).…”
Section: The Use Of Visualization For Knowledge Discoverymentioning
confidence: 99%
“…Although visual exploration interfaces differ in terms of content, offered functionality and visual complexity, they have proven of essential value for knowledge discovery and hypothesis formulation in many domains, including environmental studies (Helbig et al 2017).…”
Section: The Use Of Visualization For Knowledge Discoverymentioning
confidence: 99%
“…Some general benefits of immersive technologies stem from the properties of an iVR system; for example, strong computing power due to the high-end processing engine and graphics cards, high-resolution displays, and large field of view in conjunction with a 360degree field of regard (Ragan et al 2013). There is a growing demand for enhanced analysis tools capable of handling and interpreting large and complex data sets (Helbig et al 2017). We expect that advanced visualization approaches and quantitative exploration powered by iVR systems will have huge influence on understanding the increasingly large and complex datasets in earth sciences.…”
Section: Discussionmentioning
confidence: 99%
“…Similar to GIS, we are aiming to overcome the challenges of integration, visualisation, and exploration within environmental data collections. With the increased amount of observation of natural phenomena in recent years due to progress in technology, production, and accuracy of equipment, this has become an important research topic (Helbig et al 2017;Buck et al 2021). Examples for heterogeneous data collections in 3D space have been previously presented for applications in hydrology (Porter et al 2021;Rink et al 2012), emergency management (Wang et al 2017), meteorology (Helbig et al 2014) or oceanography (González et al 2021).…”
Section: Related Workmentioning
confidence: 99%