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Using an 'Interpretative Model' for Contextual Design of Heritage Landscape Databases: The Case of St Helena Island National Park in Queensland, Australia.

Authors :
YANG, CHEN
Source :
Geographical Research. Aug2015, Vol. 53 Issue 3, p321-335. 15p. 1 Color Photograph, 4 Charts, 2 Graphs, 5 Maps.
Publication Year :
2015

Abstract

Due to the increasing speed of landscape changes and the massive development of computer technologies, the methods of representing heritage landscapes using digital tools have become a worldwide concern in conservation research. The aim of this paper is to demonstrate how an 'interpretative model' can be used for contextual design of heritage landscape information systems. This approach is explored through building a geographic information system database for St Helena Island national park in Moreton Bay, South East Queensland, Australia. Stakeholders' interpretations of this landscape were collected through interviews, and then used as a framework for designing the database. The designed database is a digital inventory providing contextual descriptions of the historic infrastructure remnants on St Helena Island. It also reveals the priorities of different sites in terms of historic research, landscape restoration, and tourism development. Additionally, this database produces thematic maps of the intangible heritage values, which could be used for landscape interpretation. This approach is different from the existing methods because building a heritage information system is deemed as an interpretative activity, rather than a value-free replication of the physical environment. This approach also shows how a cultural landscape methodology can be used to create a flexible information system for heritage conservation. The conclusion is that an 'interpretative model' of database design facilitates a more explicit focus on information support, and is a potentially effective approach to user-centred design of geographic information systems. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17455863
Volume :
53
Issue :
3
Database :
Academic Search Index
Journal :
Geographical Research
Publication Type :
Academic Journal
Accession number :
108560801
Full Text :
https://doi.org/10.1111/1745-5871.12117