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Optimising a landscape visual quality protocol. A Method for reducing respondent fatigue and obtaining site-specific

Ana Medeiros1,2,3, Cláudia Fernandes1,2,3, João F Gonçalves1,3,4

  • 1CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal.

Methodsx
|November 29, 2023
PubMed
Summary

This study introduces a method to optimize landscape visual quality assessment indicators. It reduces evaluation time and ensures site-specific relevance by testing indicator performance and redundancy.

Keywords:
Assessment protocolExpert assessmentIn situ evaluationLandscape studiesScenic qualityVisual assessmentlandscape visual quality protocol Optimization – Performance and Redundancy Test (LVQPO – PRTest)

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Area of Science:

  • Environmental Science
  • Landscape Architecture
  • Urban Planning

Background:

  • Landscape visual quality assessment is vital for planning but lacks standardized protocols.
  • Existing methods are often complex, lengthy, and not adaptable to specific landscapes.

Purpose of the Study:

  • To propose a methodology for optimizing indicator selection in landscape visual assessments.
  • To reduce evaluation time and respondent fatigue.
  • To create site-specific protocols by selecting high-performing and non-redundant indicators.

Main Methods:

  • Experts rate indicators in situ on a 5-point scale.
  • A performance and redundancy test is applied to selected indicators.
  • The method optimizes indicator selection for expert visual assessments.

Main Results:

  • The methodology successfully streamlines indicator selection for landscape visual quality.
  • It allows for the adaptation of complex protocols to specific study landscapes.
  • Robust and scientifically supported indicator choices are facilitated.

Conclusions:

  • The proposed method enhances the efficiency and specificity of landscape visual assessment protocols.
  • It provides a scientific basis for selecting optimal indicators, improving landscape planning and policymaking.