Past landscapes for the reconstruction of roman land use: Eco-history tourism in the Algarve

Eric de Noronha Vaz, João Pedro Bernardes, Peter Nijkamp

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)


Over the last 50 years, land use has dramatically changed. Over the past two decades, Remote Sensing imagery and its capacity to observe detailed land use patterns has facilitated a deeper understanding of historical land development patterns. Hence, the goal of this paper is to shed some light on the possibilities of recovering ancient landscapes, by using spatial analysis combined with statistical methodologies applied to archaeological Roman sites in Portugal. The investigation of Roman land use patterns in the Algarve is carried out using density patterns of site propensity based on geographic and topological characteristics. Such a methodology allows a more accurate assessment of what might have been past land use during the Roman period in the Algarve. This experiment is also useful to better comprehend and make a more appropriate interpretation of predictive modelling scenarios. In particular, in our case- study area, to have a share in the Algarve's archaeological legacy value may be very interesting to the tourist industry because of the possibility to explore more sustainable tourism options rather than the =sun and beach' mass tourism offered traditionally in that region. This may lead to the development of an eco-history tourism product, by recycling existing built environments and creating an opportunity to generate revenues related to historico-cultural assets.& copy 2010 Nova Science Publishers, Inc. All rights reserved.

Original languageEnglish
Title of host publicationEcotourism
Subtitle of host publicationManagement, Development and Impact
PublisherNova Science Publishers, Inc.
Number of pages15
ISBN (Print)9781608767243
Publication statusPublished - Feb 2011


  • Algarve
  • Cultural heritage
  • Ecotourism
  • Gis
  • Land use
  • Roman land use
  • Spatial analysis
  • Survey data


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