GeoVisual analytics: interactivity, dynamics, and scale

Andrienko, Gennady; Andrienko, Natalia; Dykes, Jason; Kraak, M.J.; Robinson, Anthony C.; Schumann, Heidrun

doi:10.1080/15230406.2016.1095006

Cited by 17 publications

(8 citation statements)

References 4 publications

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“…Interactive visual analytics can facilitate the discovery of patterns and mitigate the challenge of communicating large volumes of information (Szewrański et al 2017). Interactive visualization platforms may allow users to zoom, pan; select and compare layers and attributes in one or more windows; improve analysis with supplemental graphs, plots, and tables; and other supplemental functionality (Andrienko and Andrienko 1999;MacEachren et al 2004;Chertov et al 2005;Kulawiak et al 2010;Schumann and Tominski 2011;Kinkeldey 2014;Andrienko et al 2016;Schiewe 2018).…”

Section: Visualization Challengesmentioning

confidence: 99%

An interactive platform for the analysis of landscape patterns: a cloud-based parallel approach

2019

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Understanding spatial and temporal characteristics of landscape patterns is critical in ecology, since human interactions with their natural environment can significantly impact ecological processes. The common approach to detect changes in landscape patterns is to evaluate the spatial and temporal variation of well known, established metrics. Examples of such metrics include the composition of different land-use class types and the spatial heterogeneity of individual patches. However, computing such metrics over large geographic areas and at fine levels of granularity requires significant computing resources. In addition, conventional software often lack a visual component that is essential for the detection of changes in landscape patterns and knowledge discovery. In this paper, we propose a cloud-based framework to facilitate the estimation and visualization of landscape pattern analysis in both space and time, capitalizing on the cloud computing facilities provided by Amazon EC2. We illustrate the merit of our approach on landscape metrics across the USA for the years 1992, 2001, and 2011 at the county level. Leveraging cloud computing technology provides the flexibility, scalability and portability to different study regions and at variable scales.

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Section: Visualization Challengesmentioning

confidence: 99%

An interactive platform for the analysis of landscape patterns: a cloud-based parallel approach

2019

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“…However, even if partially complete, 3D maps with key attributes enable significant advances over traditional 2D applications. Examples of maps are, twitter message location, traffic control and 3D urban model (Songnian Li et al, 2016, Andrienko et al, 2016. Further, 3D maps can be projected to 2D by using projections such as simple-cylindrical, Lambert, Mercator, conical etc.…”

Section: Geo-visualisationmentioning

confidence: 99%

“…GV and VA collectively help in cooperation and interaction between different entities of the smart city and provide various services that help in better customers' experiences and growth prospects (Stratigea et al, 2015, Hashem et al, 2016. GV and VA together have a predominant potential for many social applications like disaster response, disease surveillance, climate change, weather monitoring and forecasting, infrastructure management, transportation and navigation, in the smart city (Cook et al, 1997, Arentze and Timmermans, 2000, Urban et al, 2009, Hlawatsch et al, 2011, MacEachren and Kraak, 2011, Hlawatsch et al, 2011, Andrienko et al, 2016, Castermans et al, 2016, Wendel, 2016. Thus, there is a need for research on effective solutions and planning of smart cities to become smarter, taking into account the resources that are available and capable of innovation (Osmanoğlu et al, 2016, Toth and Jóźków, 2016, Zhou and Weiskopf, 2017.…”

Section: Introductionmentioning

confidence: 99%

Geo-Visualisation and Visual Analytics for Smart Cities: A Survey

Harbola

Coors

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> Geo-Visualisation (GV) and Visual Analytics (VA) of geo-spatial data have become a focus of interest for research, industries, government and other organisations for improving the mobility, energy efficiency, waste management and public administration of a smart city. The geo-spatial data requirements, increasing volumes, varying formats and quality standards, present challenges in managing, storing, visualising and analysing the data. A survey covering GV and VA of the geo-spatial data collected from a smart city helps to portray the potential of such techniques, which is still required. Therefore, this survey presents GV and VA techniques for the geo-spatial urban data represented in terms of location, multi-dimensions including time, and several other attributes. Further, the current study provides a comprehensive review of the existing literature related to GV and VA from cities, highlighting the important open white spots for the cities’ geo-spatial data handling in term of visualisation and analytics. This will aid to get a better insight into the urban system and enable sustainable development of the future cities by improving human interaction with the geo-spatial data.</p>

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“…Advanced interactivity carries some added value in the form of opportunity to perform data analysis by a user, but often within a range that was made possible by the visualization's creator. Advantages of environmental data visualization interactivity on the Internet are demonstrated and accented by Andrienko et al [2] as well as Roth and MacEachren [35].…”

Section: Form Of Interactive Visualization Of Environmental Datamentioning

confidence: 99%

Informational, Educational, and Scientific Values of Environmental Data Interactive Visualizations

Król

Gawroński

2018

geom

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Abstract:Various programmatic techniques and tools are more and more frequently being used for the interactive visualization of data, especially environmental data. Their prevalence and domain of their use in environmental management as well as the promotion and popularization of scientific survey results have increased successively. Chosen examples of applications of environmental data interactive visualizations were presented in the paper, their advantages and disadvantages were discussed, and some of the most-popular techniques and tools used in their creation were listed. In conclusion, it was pointed out that data visualizations are being applied more and more in the natural and technical sciences. Moreover, it was noticed that environmental data visualizations can influence the efficiency of environmental management, and the repeatedly reiterated and multi-sourced transmission of data can publicize environmental problems as well as affect the ecological awareness of individuals or social groups.

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GeoVisual analytics: interactivity, dynamics, and scale

Cited by 17 publications

References 4 publications

An interactive platform for the analysis of landscape patterns: a cloud-based parallel approach

An interactive platform for the analysis of landscape patterns: a cloud-based parallel approach

Geo-Visualisation and Visual Analytics for Smart Cities: A Survey

Informational, Educational, and Scientific Values of Environmental Data Interactive Visualizations

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