From 3D Modeling to Landscape Mapping—A Workflow for the Visualization and Communication of the Asinara Island Park Plan

Enrico Cicalò, Michele Valentino and Andrea Sias ()
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Enrico Cicalò: Department of Architecture, Design and Urban Planning, Università degli Studi di Sassari, 07041 Alghero, Italy
Michele Valentino: Department of Architecture, Design and Urban Planning, Università degli Studi di Sassari, 07041 Alghero, Italy
Andrea Sias: Department of Architecture, Design and Urban Planning, Università degli Studi di Sassari, 07041 Alghero, Italy

Sustainability, 2023, vol. 15, issue 24, 1-17

Abstract: This paper aims to present the method for producing visual media for communicating the Asinara Island National Park plan. These products are landscape visualizations capable of fostering landscape preservation both from the point of view of the management of the landscape and of the citizen’s involvement in the communication of the historical and environmental values of the landscape. Starting from landscape information gathering, the research has experimented with an operative method for processing different graphic representations from the same geographic database, calibrating the outputs to different audiences, their needs, objectives, and literacy skills. Three different types of products are presented as results of the research: The first is a digital, dynamic, and multisectoral decision-making GIS tool for park management. The second is a 3D model, aimed at virtual fruition. The third is a map of the zoning park plan drawn to be easily readable to the non-expert public. The results of this case study can be applied to other context and planning processes because of the replicability of the experimented method, which allows for processing the landscape information to make different visualization tools from a single geographic model, to meet the different requirements that arise from a complex landscape planning process.

Keywords: maps; 3D visualizations; landscape (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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