949 resultados para data visualisation


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We explore the relationship between form and data as a design agenda and learning strategy for novice visual information designers. Our students are university seniors in digital, visual design but novices to information design, manipulation and interpretation. We describe design strategies developed to scaffold sophisticated aesthetic and conceptual engagement despite limited understanding of the domain of designing with information. These revolve around an open-ended design project where students created a physical design from data of their choosing and research. The accompanying learning strategies concern this relationship between data and form to investigate it materially, formally and through ideation. Exemplifying student works that cross media and design domains are described.

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This research draws on theories of emergence to inform the creation of an artistic and direct visualization. This is an interactive artwork and drawing tool for creative participant experiences. As is discussed, emergence is characteristically creative. It is also debated across and within disciplines, resulting in a range of understandings as well as models. This paper shows how one field’s understanding of emergence (complexity theory) can be used to facilitate emergence in another domain (design research) and, importantly provide the opportunity for someone to act creatively. This paper begins with a brief review of some theories of emergence to show how they interrelate and can effect the perception of emergent structures in an observer, and, correspondingly, the design for creative experience. This is subsequently demonstrated in the second section of the paper where an interactive artwork and drawing application, Of me with me, is presented. This artwork by the author was created during collaboration with community artists from Cerebral Palsy League. The discussion covers the application of emergence theories to create this visualization in order facilitate the perception of structures and creative behaviours in a participant and to facilitate self-efficacy in the community artist user group.

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In recent years, increasing focus has been made on making good business decisions utilizing the product of data analysis. With the advent of the Big Data phenomenon, this is even more apparent than ever before. But the question is how can organizations trust decisions made on the basis of results obtained from analysis of untrusted data? Assurances and trust that data and datasets that inform these decisions have not been tainted by outside agency. This study will propose enabling the authentication of datasets specifically by the extension of the RESTful architectural scheme to include authentication parameters while operating within a larger holistic security framework architecture or model compliant to legislation.

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Building information models are increasingly being utilised for facility management of large facilities such as critical infrastructures. In such environments, it is valuable to utilise the vast amount of data contained within the building information models to improve access control administration. The use of building information models in access control scenarios can provide 3D visualisation of buildings as well as many other advantages such as automation of essential tasks including path finding, consistency detection, and accessibility verification. However, there is no mathematical model for building information models that can be used to describe and compute these functions. In this paper, we show how graph theory can be utilised as a representation language of building information models and the proposed security related functions. This graph-theoretic representation allows for mathematically representing building information models and performing computations using these functions.