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    Il paesaggio storico delle Cinque Terre

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    Author(s)
    Maristella, Storti
    Language
    Italian
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    Abstract
    The PhD thesis presented here investigates the historic landscape of the Cinque Terre through analysis of the multiform territorial iconography, descriptions of the past and the ancient cadastral records. The aim is to define a methodology (which could possibly also be extended to other contexts) for the qualitative appraisal of the landscape, where the yardstick is yielded by the abstract status conditions brought to light by parameters defined as “historic indicators”. The temporal thresholds analysed (1612, 1643, 1799, 1918-32, 1982, 1990) lead to interpretative syntheses (for example, those on Riomaggiore) aimed at the identification of rules for project initiatives shared by the local communities.
     
    La tesi di dottorato qui presentata indaga il paesaggio storico delle Cinque Terre attraverso l'analisi della multiforme iconografi a territoriale, delle descrizioni del passato e degli antichi catasti descrittivi. Il fine è quello di mettere a punto una metodologia (estensibile eventualmente ad altri contesti) per la valutazione qualitativa del paesaggio, dove la misura è data dalle condizioni di stato astratte messe in luce da parametri detti "indicatori storici". Le soglie temporali analizzate (1612, 1643, 1799, 1918-32, 1982, 1990) conducono a sintesi interpretative (es. quelle su Riomaggiore) finalizzate all'individuazione di regole per azioni di progetto condivise dalle comunità locali.
     
    URI
    http://library.oapen.org/handle/20.500.12657/34857
    Keywords
    liguria; cinque terre
    DOI
    10.26530/OAPEN_347522
    ISBN
    8884532736
    OCN
    808384641
    Publisher
    Firenze University Press
    Publisher website
    https://www.fupress.com/
    Publication date and place
    2005
    Series
    Scuole di dottorato,
    Classification
    Architecture
    Historical geography
    Rights
    https://creativecommons.org/licenses/by-nc-nd/2.5/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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