GIS-Based Aesthetic Appraisal of Short-Range Viewsheds of Coastal Dune and Forest Landscapes (original) (raw)
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Aesthetic value characterization of landscapes in coastal zones
2012 IEEE/OES Baltic International Symposium (BALTIC), 2012
Landscapes are essential for society, tourism industries and local communities. The development of tools capable to assess their environmental and socioeconomic importance are fundamental to preserve their aesthetic integrity, especially in coastal areas facing strong anthropogenic pressure.
2021
In this article we compare two traditional aesthetic landscape assessment models, the psychophysical model and the psychological model. Our aim is to determine how close both theoretical frameworks are and to what extent they produce similar results, both thematically and spatially. We conduct the psychophysical model using a mapping procedure based on the use of geographic information systems, and the psychological one through a public participation geographic information system, and compare both using spatial analysis techniques. The results indicate that the two models produce divergent results, although both tend to coincide in locating positive ratings. The psychological model generates more and better ratings. Also, a correlation is revealed between the places visited by the users and the places with the best assessment. The main reason for the divergence between the two models is their different rationale. Neither model must be understood as a replacement for the other, but rather as a complement to each other, because together they generate information that cannot be provided separately.
A novel approach of mapping landscape aesthetic value and its validation with rural tourism data
2019
Landscape aesthetic research that emerged from the second half of the 20th century has become increasingly appreciated and popular in the last few decades. There are two main reasons for this. On the one hand, it was recognized the role of landscape aesthetics in land use and environmental planning, management and conservation. On the other hand, its definition among Cultural Ecosystem Services has made it clear that landscape aesthetics has significant impact on human well-being and there is a need to examine it in the concept of Ecosystem Services and, in particular, Cultural Ecosystem Services (CES). The mapping of landscape aesthetics is mostly based on the exclusive evaluation of objective, biophysical landscape factors. The aim of the research was to create the landscape aesthetic map of Hungary with a novel method based on human perception. For this, a questionnaire survey and a GIS approach were used. In order to better understand the role of factors influencing the aestheti...
Journal of Agricultural Environmental Ethics, 2011
Offering people scenic beauty is one of the most frequently mentioned landscape services. In the Netherlands it also has become an explicit policy goal: "we want a beautiful country to live and work in" (LNV, 2000: 3). However, instruments to help policy makers and spatial planners to implement this relatively new goal are largely lacking. Where do people like the landscape in their living environment and where do they not? And which physical characteristics infl uence this appreciation and to what extent? To provide such information in a cost-effi cient way, a model was developed to map, monitor, and simulate precisely this: the GIS-based Landscape Appreciation Model (GLAM). The model predicts the attractiveness of the landscape based solely on nationally available GIS-data on its physical aspects for each 250 x 250 metre cell. In this article, we describe the theoretical background to GLAM, the attributes in the current version of the model, the fi nal steps in calibrating the model, as well as its validation. We conclude with a discussion on the usefulness of GLAM for spatial policy.
Land Use Policy, 2017
Landscape aesthetics, as a cultural ecosystem service should be included in land-use planning. Therefore, appropriate mapping algorithms that allow quick and accurate visualization of the scenic beauty in a spatiallyexplicit manner are of significant importance. The present study implements and compares three mapping approaches including Multi-Criteria Evaluation (MCE), Logistic Regression (LR) and Multi-layer Perceptron (MLP) neural network in a GIS environment for landscape aesthetic suitability mapping in the Ziarat watershed basin of northeastern Iran. Ground truth data were collected during several field observations and landscape photographs were taken in winter and autumn. Mapping algorithms were compared for their spatial accuracy using the Receiving Operator Characteristic (ROC) method and the comparison was made for automatic identification of scenic beauty on routes applying landscape metrics. According to the results, the ROC statistic scored at 0.94, 0.93 and 0.88 for MLP, LR and MCE methods, respectively. In addition, landscape metrics-derived results depicted the MLP method as more successful for automated delineation of a connected network of scenic routes. Finally, due to acceptable spatial accuracy, this study suggests expert-based mapping methods such as MCE and statistical algorithms such as LR can be used as ground truth layers for a sampling of presence/absence data. The map containing sampled points can be used as a training layer for iterative artificial intelligence-based methods such as MLP for quick and accurate suitability mapping of landscape aesthetics in neighboring watersheds. This application demonstrates how landscape aesthetics as one of cultural ecosystem services can be integrated into land-use planning practices.
measuring landscape aesthetics; the scenic beauty estimation method.pdf
Daniel, Terry C., and Ron S. Boster. 1976. Measuring landscape esthetics: The scenic beauty estimation method. USDA For. Serv. Res. Pap. RM-167, 66 p. Rocky Mt. For. And Range Exp. Stn., Fort Collins, Colo. 80521.The Scenic Beauty Estimation Method (SBE) provides quantitative measures of esthetic preferences for alternative wildland management systems. Extensive experimentation and testing with user, interest, and professional groups validated the method. SBE shows promise as an efficient and objective means for assessing the scenic beauty of public forests and wildlands, and also for predicting the esthetic consequences of alternative land uses. Extensions and modifications of the basic methodology offer potentially useful design, planning, and management tools. Keywords : esthetics, land use planning
Mapping the attractiveness of the Dutch landscape: a GIS-based landscape appreciation model (Glam2)
Forest Snow and Landscape …, 2007
With the increased importance of the Dutch countryside as a setting for leisure activities, the relevance of resident appreciation of the surrounding landscape has increased. GLAM can predict this appreciation based on nationally available GIS data. Version 2 of the model (GLAM-2) was calibrated using attractiveness ratings from a national survey. Of the six initial indicators, fournamely Naturalness, Historical distinctiveness, Skyline disturbance, and Urbanization -made a significant predictive contribution. The final model was evaluated using data from another Dutch survey of landscape appreciation. GLAM-2 explained 47 % of the variance in the average appreciation rating of 52 areas. Given that the landscape's quality as assessed by experts clearly differs from its attractiveness to lay people, GLAM-2 constitutes a useful tool for policy makers and spatial planners who are interested in local resident appreciation. The model is, however, open to improvement.
Land Use Policy, 2009
The purpose of this paper is to validate a model for predicting the public's preference for a landscape using simple statistical techniques. The model assigns numerical values to 42 landscape variables grouped into physical, aesthetic and psychological attributes. The landscape value is obtained using an additive value function. The results of the model on certain landscapes are compared with the preference expressed by the public in a survey of 183 people.
Journal of Environmental …, 2000
The present study approaches the environmental assessment of landscapes in two steps: ¢rst, through the determination of the relevant characteristics that in£uence the perception of a sample of galician landscapes, in north-western spain, using both quantitative data and categorical data; and second, by obtaining a list of predictors of scenic beauty for a sample of landscapes. Predictors were related to two of the most fertile approaches to landscape assessment: the psychophysical and cognitive paradigms, the latter including ¢ve different models to explain landscape preference. Our results support the existence of a classi¢cation criteria that is common to most subjects. The criteria followed by subjects to derive this classi¢cation were: presence/absence of water, arti¢ciality of landscape, powerfulness of landscape, and human presence in the landscape. With respect to assessment of scenic beauty, our results showed that both the psychophysical and the cognitive paradigm were able to explain to a high degree the preference scores. The relationships found between predictors from both paradigms indicate that it would be possible to integrate them into a more general model of landscape assessment.