Exploring a combination of objective and subjective assessment in landscape classification: Side case from Turkey

Atik, Meryem; Işıklı, Rabia Canay; Ortaçeşme, Veli; Yıldırım, Emrah

doi:10.1016/j.apgeog.2017.04.004

Cited by 26 publications

(11 citation statements)

References 32 publications

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“…Objectivity, in this study, refers to the type of data we obtained that owe less to individual subjectivity; therefore, such methods more realistically reflect the underlying laws of landscape perception. Some studies have been conducted by combining objective and subjective methods to evaluate landscape [49,106,107]. Our results indicate that eye tracking might be feasible as an alternative or complementary method in landscape research to enable a more objective and scientific study, which corresponds to the conclusions in other studies in this field [75,76].…”

Section: Discussionsupporting

confidence: 68%

Impact of Artificial Elements on Mountain Landscape Perception: An Eye-Tracking Study

Guo

Sun

Chen

et al. 2021

Land

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The landscape is an essential resource for attracting tourists to a destination, but this resource has long been overused by tourism development. Tourists and scholars have begun noticing the interference of human structures in the natural environment and how this can change the meaning of a landscape. In this study, the impact of artificial elements on mountain landscapes was investigated by measuring the characteristics of visual perception and a landscape value assessment using eye-tracking analysis. Furthermore, this study includes socio-demographic features for testing whether they have an impact on landscape perception. The results show that human structures impact both visual perception and the perceived value of landscapes. Hotels and temples attract more visual attention than a purely natural landscape. Modern hotels appear to have a negative influence on mountain landscape valuation, while temples with unique culture have positive impacts. Socio-demographic groups differ significantly in how they observe landscape images and, to a degree, how they value the landscape therein. Our study should be of value to landscape planning and tourism policy making.

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Section: Discussionsupporting

confidence: 68%

Impact of Artificial Elements on Mountain Landscape Perception: An Eye-Tracking Study

Guo

Sun

Chen

et al. 2021

Land

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“…It is a process of describing, mapping, and evaluating distinct characters in the landscape used by several researchers (Simensen et al 2018;Atik et al 2017) to combine map-based biophysical information and on-site visual landscape characteristics.…”

Section: New Trends: An Ecosystem-service-oriented Approachmentioning

confidence: 99%

From preference to landscape sustainability: a bibliometric review of landscape preference research from 1968 to 2019

Yang

Zhang

et al. 2021

Ecosyst Health Sustain

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“…The landscape is a product of interactions between humans and nature that bring multiple characteristics to discrete geographic settings [52]. Landscapes are complex, spatially heterogeneous systems with many properties and values [12].…”

Section: Verification Of Lec System Of Mcssmentioning

confidence: 99%

Study on Landscape Ecological Classification and Landscape Types Evolution: A Case Study of a Mining City in Semi-Arid Steppe

Lei

et al. 2021

Sustainability

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Landscape Ecological Classification (LEC) is the premise and foundation of landscape ecology research. The current research on LEC of Mining Cities in the Semi-arid Steppe (MCSS) is relatively low. Moreover, the question of how to classify the mining landscape into ecologically significant landscape units at a scale suitable for ecological management has not been clear. The research results are as follows: (1) Google Earth, Gaode map, Baidu map, various high-resolution images, unmanned aerial vehicle, and field investigation were used to investigate the landscape types. Based on the land classification of the occurrence model, integrating theories of landscape ecology, mining, ecology, geography, and land resources, this study constructed the LEC system for MCSS using the top-down decomposition classification method, including 4 types of landscape kingdom, 16 types of landscape class, 62 types of landscape family, and more than 200 types of landscape species. (2) Based on LEC, we found the landscape type evolution characteristics of MCSS. Both the open-pit landscape and the dumping landscape were constantly expanding, and ecological restoration of the mining area was carried out simultaneously with coal mining. The trend of Change Intensity (CI) of mining industrial square landscape and industrial storage landscape was very similar. The development of coal has driven the development of the regional industry. The expansion intensity of the town commercial and residential service landscape was gradually decreasing, and the motivation for town expansion was insufficient. The research area was a typical landscape evolution mode of “human advance and grassland retreat”. However, the intensity of humans occupying grassland was decreasing. This study provides a reference for the research of LEC in the semi-arid steppe and provides a theoretical basis for the landscape ecological assessment, planning, and management of mining cities.

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Exploring a combination of objective and subjective assessment in landscape classification: Side case from Turkey

Cited by 26 publications

References 32 publications

Impact of Artificial Elements on Mountain Landscape Perception: An Eye-Tracking Study

Impact of Artificial Elements on Mountain Landscape Perception: An Eye-Tracking Study

From preference to landscape sustainability: a bibliometric review of landscape preference research from 1968 to 2019

Study on Landscape Ecological Classification and Landscape Types Evolution: A Case Study of a Mining City in Semi-Arid Steppe

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