Do people prefer natural landscapes? An empirical study in Chile

Nahuelhual, Laura; Laterra, Pedro; Jiménez, D. Niño; Báez, Andrea; Echeverría, Christián; Fuentes, Rodrígo

doi:10.4067/s0717-92002018000200205

Cited by 10 publications

(4 citation statements)

References 27 publications

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“…As such, the study included the land use types without human intervention, characterized by density and abundance of vegetation (Pictures 1-3). Previous studies relating the visual perception with the types of scenes shown to respondents have indicated that higher evaluation rates are given to scenes depicting continuous vegetative cover [53], as was the case with the natural forest from this study. Pasturelands, on the other hand, are generally given lower ratings, because they are typically associated with agricultural and livestock practices [54], so respondents associate this type of land management system with human activities and intensive-use practices.…”

Section: Discussionsupporting

confidence: 44%

Perceptions of Local Inhabitants towards Land Management Systems Used in the Rainforest Area of Ecuador: An Evaluation Based on Visual Rating of the Main Land Use Types

2021

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Land management policy and practice affects a wide segment of stakeholders, including the general population of a given area. This study evaluates the perceptions of local inhabitants towards the land management systems used in the rainforest area of Ecuador—namely, unmanaged (natural) forest, managed forest, croplands, and pasturelands. Data collected as ratings on 12 pictures were used to check the aggregated perceptions by developing the relative frequencies of ratings, in order to see how the perception rating data were associated with the types of land management systems depicted by the pictures, and to see whether the four types of land management could be mathematically represented by a clustering solution. A distinctive result was that the natural forests were the most positively rated, while the managed forests were the least positively rated among the respondents. It seems, however, that human intervention was not the landscape-related factor affecting this perception, since croplands and pasturelands also received high ratings. The ratings generated a clear clustering solution only in the case of forest management, indicating three groups: natural forests, managed forests, and the rest of the land management systems. Based on the results of this study, a combination of the four land use systems would balance the expectations of different stakeholders from the area, while also being consistent to some extent with the current diversity in land management systems. However, a more developed system of information propagation would be beneficial to educate the local population with regards to the benefits and drawbacks of different types of land management systems and their distribution.

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Section: Discussionsupporting

confidence: 44%

Perceptions of Local Inhabitants towards Land Management Systems Used in the Rainforest Area of Ecuador: An Evaluation Based on Visual Rating of the Main Land Use Types

2021

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“…Cabe señalar que este trabajo escapa a la discusión y alcances que implica la idea de paisaje. Más bien se remite a identificar en las áreas de estudio aquellos espacios de reciente poblamiento por parte de grupos de altos ingresos y los atributos visuales que estos tienen, los cuales se pueden considerar, según la literatura especializada, como atractivos paisajísticos o de belleza escénica debido a sus características biofísicas, como en el caso de cuerpos de agua y colinas; y de acuerdo a las coberturas de suelo predominantes, como lo son bosques y áreas agrícolas (Nahuelhual et al, 2018;Van Zanten, Verburg, Koetse & Van Beukering, 2014).…”

Section: Introductionunclassified

Atractivos paisajísticos y dispersión residencial de grupos de altos ingresos ¿Una nueva élite de consumidores experienciales? Caso Gran La Serena y Gran Concepción, Chile, 1965 -2012

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McBride

2019

Rev. 180

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Historically, emerging elites have sought to reside in traditional and well-known high-income areas, as part of the construction of identity and the expression of their social status. Nowadays, new residential settlements, outside the established areas of high income, are expressing the predilection of elites for attractive landscapes and the search of beneficial experiences, rather than a prestige function; symptom -according to this study-of a renewed sensitive and playful conception of the territory. Two case studies have been analyzed: Gran La Serena and Grand Concepción, both of Chile. Through cartographies based on census data and other sources, the localization patterns of high socioeconomic groups and their relationship with the landscape attractiveness of the territory are evaluated. The results show, in both cases, remarkable parallelism between variables.

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“…In order to train ML and DL models to reproduce LQs, a dataset of labelled examples is needed. LQ assessments often concern the study of the scenicness of natural vistas (Arthur, 1977;Wherrett, 1998;Nahuelhual et al, 2018). This is a well-studied task with datasets that are available to the public.…”

Section: Natural and Urban Lq Assessmentsmentioning

confidence: 99%

“…However, a typical downside of such methods is a lack of input from the public, which would reflect the inherent subjectivity of LQs. Instead, public preference research approaches derive LQ opinions from the public through methods such as surveys, interview panels, or research site visits (Arthur, 1977;Schroeder and Daniel, 1981;Nahuelhual et al, 2018). More recently, the internet has enabled crowdsourcing efforts at unprecedented scales, allowing for the collection of many first-hand accounts at once (Wherrett, 1998;Naik et al, 2014;Seresinhe et al, 2015;Bubalo et al, 2019).…”

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Chapter 2 Predicting liveability with semantic intermediate concepts Chapter 3 On the relation between landscape beauty and land cover Chapter 4 Cross-modal learning of housing quality in amsterdam Chapter 5 Scenicness assessments with vision-language models Chapter 6 Synthesis References Summary 117 Acknowledgements 119 About the author 121 PE&RC Training and Education Statement 123 Acronyms CLC Corine Land Cover CNN Convolutional Neural Network DL Deep Learning GSV Google Street View HMI Human-Machine Interaction LBM Leefbaarometer LPE Landscape Prompt Ensembling LQ Landscape Quality ML Machine Learning MLP Multi-Layer Perceptron NIR Near-Infrared PP2 Place Pulse 2 RS Remote Sensing RMSE Root Mean Squared Error SON ScenicOrNot VLM Vision-Language Model Chapter 1 Introduction 1.1 ContextLandscapes are an ever-present aspect of life, and the way in which humans experience these landscapes can shape their lives in various ways. Therefore, they are increasingly being recognised as an important resource for many facets of life. Landscapes are an important regulator for our emotional and physical well-being. For instance, high-quality natural landscapes correlate with positive emotions such as warmth and cheerfulness (Daniel and Vining, 1983), comfortableness, tranquillity, and safety (Galindo andRodriguez, 2000), and happiness (Daniel and Vining, 1983;Seresinhe et al., 2019). The importance of landscapes transcends personal health, as scenic landscapes are a driver for tourism (Krippendorf, 1984), as well as cultural ecosystem services (Daniel et al., 2012;Havinga et al., 2021). Similar patterns are observed for urban residential spaces. Living in destitute neighbourhoods is associated with higher mortality rates (Haan et al., 1987), worse dietary and physical activity patterns (Thompson and Kent, 2014), and an increase in morbidity (Barber et al., 2016). Living in lower-quality housing is also detrimental for mental well-being (Evans, 2003). In aggregate, landscape perception and appreciation are crucial for land management activities (Solecka, 2019). Evidently, understanding the qualities of our landscapes is important for our overall well-being, and it may help guide decisions on how to manage landscapes.The definition of a landscape can vary greatly depending on the research intent. For the purposes of assessing the qualities of landscapes based on perception alone, the definition is adjusted to leave out non-visible landscape elements that cannot be comprehended from single images, such as cultural or historical values or species distributions (Amir and Gidalizon, 1990). When considering visual factors, landscapes can be defined as "a portion of a territory that the eye can comprehend in a single view" (Daniel, 2001), or alternatively, "the outdoor environment, natural or built, which can be directly perceived by a person visiting and using that environment" (Hull and Revell, 1989). This definition 4. Once the modeller is satisfied with the performance of the model on the validation dataset of step 4, it can th...

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Do people prefer natural landscapes? An empirical study in Chile

Cited by 10 publications

References 27 publications

Perceptions of Local Inhabitants towards Land Management Systems Used in the Rainforest Area of Ecuador: An Evaluation Based on Visual Rating of the Main Land Use Types

Perceptions of Local Inhabitants towards Land Management Systems Used in the Rainforest Area of Ecuador: An Evaluation Based on Visual Rating of the Main Land Use Types

Atractivos paisajísticos y dispersión residencial de grupos de altos ingresos ¿Una nueva élite de consumidores experienciales? Caso Gran La Serena y Gran Concepción, Chile, 1965 -2012

Landscape quality assessments using deep learning

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