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Visual Information and Graphic Communication Models of the Amalfi Coast Landscapes

Authors: Stefano Chiarenza; Barbara Messina;

Visual Information and Graphic Communication Models of the Amalfi Coast Landscapes

Abstract

This paper addresses the issue of integrated digital representation as a tool for reading and analysing complex urban and territorial realities, such as the Amalfi coast landscapes. In particular, the communicative potential of a graphic-informative approach is highlighted. This assumes a fundamental meaning in the management processes of urban systems and multiform territorial contexts. Going over some significant examples, aimed at graphing material and immaterial phenomena of the investigated realities, we intend to highlight the key role of digital representations structured on superimposable and correlated information layouts. The paper underlines, therefore, those graphic systems conceived to visualize and communicate integrated data sets with great immediacy that facilitate and simplify the monitoring and management processes of complex landscapes, thus contributing to their enhancement and sustainability.

Country
Italy
Related Organizations
Keywords

Infographic representation; Information databases; Data visualization; Graphic communication; Integrated systems

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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