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Improved landscape sampling method for landscape character assessment

Frontiers of Architectural Research 2023年第1期12卷 118-128页

作者： Xiaodan Yang Qinghua Zhou Darui Tian School of Architecture Xi’an University of Architecture and TechnologyXi’an 710055China Xi’an Jianda Institute of Urban Planning and Design Xi’an 710055China State Key Laboratory of Green Building in Western China Xi’an 710055China

Landscape character assessment(LCA)is an effective tool for understanding people’s perceptions and preferences of landscape *** than the assessment indicators and subjects,the reliability of photos as assessment objects is equally important for the LCA ***,the commonly used onsite photos are mainly obtained at randomly selected locations by the *** can neither know whether those photos represent the researchers’own preferences,nor,to our best knowledge,can their reliability be tested *** method is also difficult to apply in large-scale geographical *** address these issues,we(1)propose an improved method including the protocols of photography and the sampling of photography locations,in which the fractal principle and stratified random sampling method were combined to minimize the effects of the researchers’preferences and other factors;(2)apply the method to the Guanzhong region as an example,and obtain sampling photos and their geographical coordinates,which can be used as a data package for LCA;(3)use Fractalyse to test the sampled result and receive good *** conclusion,this study extends the methodological chain of the LCA and supports the application of LCA in large-scale regions.

关键词： LCA photography location sampling Fractals Stratified random sampling Guanzhong region in Shaanxi

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