VISUAL IMPACT ASSESSMENT OF COLOUR AND SCALE OF BUILDINGS ON THE RURAL LANDSCAPE
| Autor: | María Jesús Montero-Parejo, Julio Hernández-Blanco, Lorenzo García-Moruno, Sergio Lopez-Casares |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Environmental Engineering
Visual perception Computer program business.industry Computer science Impact assessment 05 social sciences Aggregate (data warehouse) 010501 environmental sciences Management Monitoring Policy and Law Machine learning computer.software_genre 01 natural sciences Pollution Test (assessment) Consistency (database systems) 0502 economics and business Artificial intelligence Scale (map) business Landscape planning computer 050203 business & management 0105 earth and related environmental sciences |
| Zdroj: | Environmental Engineering and Management Journal. 15:1537-1550 |
| ISSN: | 1843-3707 1582-9596 |
| DOI: | 10.30638/eemj.2016.166 |
| Popis: | A test for quantifying the contribution of colour and scale to the visual impact of buildings in the rural setting was developed and validated by means of a public opinion survey. The method was based on some psychological aspects of visual perception and on a simple image treatment performed by a well known and easily available computer program. Results were provided as numerical values, enabling the quantification of the impact for the two individual elements studied and for their potential interactions (aggregate impact, AI). Validation involved 44 images and 1,046 participants arranged into two groups, and the method proved to behave with consistency in predicting the AI of these elements, since the ratings assigned by the observers to the visual proposals examined displayed a high correlation with the predictions obtained from the application of the test. A general threshold for AI was drawn from the results, and such threshold could be transferred without major difficulties to authorities performing the planning and regulation of the rural landscape, since the test is simple and requires just a minimal training. Extending the application of the method to testing elements other than scale and colour and their AIs might assist the searching of a global indicator of impact that may satisfy the needs of landscape planning and regulation in the future better than the current tools. |
| Databáze: | OpenAIRE |
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