This paper presents a visualization model supporting the map-based presentation of environmental data about geographic areas. Our model is based on the evaluation of the ecological aspects of a landscape and on the dynamic generation of a layer that shows the levels of naturality, the land use, and other similar characteristics, of the area in focus. We propose this model as an extension of the information that can be provided by a mobile guide with the aim to support the exploration of Natural Heritage by making users aware of the richness and weaknesses of the places they visit and raising the attention towards biodiversity and environment preservation, which are key to green tourism.

Integration of Cultural and Natural Heritage Information in Future Mobile Guides

Liliana Ardissono;Gianluca Torta;Marino Segnan;Claudio Mattutino
2022-01-01

Abstract

This paper presents a visualization model supporting the map-based presentation of environmental data about geographic areas. Our model is based on the evaluation of the ecological aspects of a landscape and on the dynamic generation of a layer that shows the levels of naturality, the land use, and other similar characteristics, of the area in focus. We propose this model as an extension of the information that can be provided by a mobile guide with the aim to support the exploration of Natural Heritage by making users aware of the richness and weaknesses of the places they visit and raising the attention towards biodiversity and environment preservation, which are key to green tourism.
2022
The 13th International Workshop on Personalized Access to Cultural Heritage (PATCH 2022) – Towards Hybrid CH Experience
Barcelona (Spain)
4/7/2022
Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
ACM
402
405
978-1-4503-9232-7
https://dl.acm.org/doi/pdf/10.1145/3511047.3537648
Natural Heritage exploration, adaptive web, GIS
Liliana Ardissono, Gianluca Torta, Pietro Barone, Marino Segnan, Claudio Mattutino
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1870798
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