
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>A framework and class Library [GAV FLash] implemented in Adobe's ActionScript is introduced, designed with the intention to significantly shorten the time and effort needed to develop customized web-enabLed appLications for geovisuat anaLytics tasks. Through an atomic-Layered component architecture, GAV FLash provides a coLLection of interactive geographic and information visualization representations for exploring high-dimensionaL spaces that are extended with motion behaviour. VersatiLe interaction methods are drawn from many data visualization research areas and optimized for dynamic web visuaLization of spatio-temporat and multivariate data. Based on Layered-component thinking and the use of programming interface mechanism, the GAV FLash architecture is open and facilitates the creation of new or improved versions ef existing components so that ideas can be tried out or optimized rapidLy in a fuLLy functional environment. GAV FLash is not only a tool for interactive visualization, it also supports storyteLLing around visual anaLytics in which visual representations serve not onLy as a discovery toot for individuals but also as a means to share stories among users fostering a sociaL styLe of coLLaborative data analysis. A mechanism 'snapshot' for saving the expLorative results of a reasoning process is introduced, which aids coLLaboration and pubLication of gained insight and knowLedge embedded as dynamic visualizations in bLogs or web pages with associative metadata or 'storytelling'.
Computer and Information Sciences, multiple-linked views, storytelling, layered component architecture, Data- och informationsvetenskap, web-enabled visualization toolkit, Other Computer and Information Science, geovisual analytics, Annan data- och informationsvetenskap
Computer and Information Sciences, multiple-linked views, storytelling, layered component architecture, Data- och informationsvetenskap, web-enabled visualization toolkit, Other Computer and Information Science, geovisual analytics, Annan data- och informationsvetenskap
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 33 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
