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Research On Plant Landscape Preference Based On Digital Footprint

Posted on:2022-06-29Degree:MasterType:Thesis
Country:ChinaCandidate:X Y WangFull Text:PDF
GTID:2532307034968009Subject:Landscape
Abstract/Summary:PDF Full Text Request
In the study of plant landscape preference,due to the limitations of technical conditions,the representativeness and accuracy of existing research have certain limitations,and the influence of the four-dimensional nature of plant landscape on perception preference has not been fully considered.In addition,there are still some shortcomings in the relevant theories and specific practices in terms of the emphasis on the structure and level of plant landscape design,the seasonal design of plant landscape,and the display of plant landscape value.In view of this,this study takes the Shanghai Chenshan Botanical Garden as an example,and tries to combine five main indicators based on the digital footprint and field surveys,including plant species preference,plant configuration mode preference,plant space preference,spatiotemporal distribution of plant landscape preference,and green viewing rate preference.Detailed analysis and research on tourists’ plant landscape preferences,and combined with the preference index conclusions,integrate and discuss the application of herbaceous plants,seasonal plant landscape design,and the display of plant landscape value.In the study of plant species preference,the representativeness of picture footprints for tourists’ plant landscape preferences was verified;on this basis,it was concluded that in terms of plant ornamental characteristics,tourists preferred flowerviewing plants;in terms of the good aspects of plants of different life types,the most Preference for herbaceous plants;secondly,summarize the specific application forms of the most preferred plant types by tourists: including single plant,partial,overall display,single group display,and combination with landscape sketches.In the study of plant configuration mode and plant space preference,it is concluded that in terms of plant configuration mode preference,tourists prefer the single herb configuration mode;in terms of plant space preference,they prefer open plant space;and tourists’ preference for both is influenced by the landscape visual field,the composition of plant materials,the external environment and other factors show obvious seasonal changes.Secondly,it summarizes the specific application forms of tourists’ high-frequency preference for plant configuration: five types of applications including various flower borders,flower beds,and combination with landscape sketches.In the study of the temporal and spatial distribution of plant landscape preferences,it is analyzed and summarized that the four aspects of plant growth,seasonal changes,cultural activities,and garden management and management are the main factors that affect the annual and seasonal changes in the plant landscape preferences of tourists;Secondly,it is verified that there is no linear correlation between plant landscape preference and diversity.In the research on preference of green vision,the analysis concluded that the most preferred green vision of tourists is roughly distributed between 40%-65%.Based on the summary of plant landscape preference index conclusions,the importance of herbaceous plants is discussed;the seasonal plant landscape design theory is supplemented from two aspects of plant configuration mode and plant space type;at the same time,from the introduction of culture and activities,Various application forms,four main aspects of plant landscape management and management,propose methods and suggestions for the display of plant landscape value.Finally,based on the research results of plant landscape preference indicators,suggestions are made for the design and management of plant landscapes(including the plant landscape of Chenshan Botanical Garden),and the research methods of this article are summarized.
Keywords/Search Tags:Digital Footprint, Plant Landscape, Perception and Preference, Chenshan Botanical Garden
PDF Full Text Request
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