Landsenses in Green Spaces

The term “landsenses” is derived from “landsenses ecology”, a recently emerging scientific discipline grounded in ecological principles and an analytical framework encompassing natural elements, physical senses, psychological perceptions, socio-economic perspectives, process risk and related aspects...

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Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2024
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collection Directory of Open Access Books
description The term “landsenses” is derived from “landsenses ecology”, a recently emerging scientific discipline grounded in ecological principles and an analytical framework encompassing natural elements, physical senses, psychological perceptions, socio-economic perspectives, process risk and related aspects. Landsenses emphasize the incorporation of human perception from sensory and psychological dimensions into ecological environmental research. Within this framework, we believe the theory advanced by landsense ecology not only offers an effective avenue for investigating the relationship between humans and the environment, but also serves as a crucial methodological and technical approach for the development of green spaces in the context of constructing smart and resilient cities. This reprint comprises 13 papers encompassing multi-sensory studies conducted in green spaces and an editorial published in the Special Issue of Forests titled “Landsenses in Green Spaces”.
format Online
id doab-20.500.12854ir-137851
institution Directory of Open Access Books
language eng
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1378512024-05-14T14:43:06Z Landsenses in Green Spaces Liu, Jiang Wang, Xinhao Hong, Xin-Chen soundscape waterfront space in mountainous cities spatial elements multisensory interaction forest-type temple urban-type temple Han Chinese Buddhism soundscape evaluation influencing factors landscape sound perception visiting experience structural equation model scenic area urban park waterfront psychological response semantic segmentation landscape complexity fractal dimension eye tracking preference urban forest forest landscape soundscape preference elderly urban forest park underdeveloped cities in China subjective evaluation traditional settlements ENVI-met green spaces outdoor environment thermal comfort regional characteristics human perception prediction model visual–aural attributes urban green spaces landscape pattern sound dominant degree soundscape quality residential area green space scale effect multisensory perception restoration effects forest recreation generative large language model National Forest Parks aesthetic sensory landscape characteristics traditional villages public space specialized garden plant landscape space spatial vitality visitor behavior landscape features older adults restorative environment residential public space physio-psychological recovery n/a thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics The term “landsenses” is derived from “landsenses ecology”, a recently emerging scientific discipline grounded in ecological principles and an analytical framework encompassing natural elements, physical senses, psychological perceptions, socio-economic perspectives, process risk and related aspects. Landsenses emphasize the incorporation of human perception from sensory and psychological dimensions into ecological environmental research. Within this framework, we believe the theory advanced by landsense ecology not only offers an effective avenue for investigating the relationship between humans and the environment, but also serves as a crucial methodological and technical approach for the development of green spaces in the context of constructing smart and resilient cities. This reprint comprises 13 papers encompassing multi-sensory studies conducted in green spaces and an editorial published in the Special Issue of Forests titled “Landsenses in Green Spaces”. 2024-05-14T14:43:01Z 2024-05-14T14:43:01Z 2024 book ONIX_20240514_9783725806027_447 9783725806027 9783725806010 https://directory.doabooks.org/handle/20.500.12854/137851 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9090 https://mdpi.com/books/pdfview/book/9090 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0601-0 10.3390/books978-3-7258-0601-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725806027 9783725806010 292 open access
spellingShingle soundscape
waterfront space in mountainous cities
spatial elements
multisensory interaction
forest-type temple
urban-type temple
Han Chinese Buddhism
soundscape evaluation
influencing factors
landscape
sound perception
visiting experience
structural equation model
scenic area
urban park waterfront
psychological response
semantic segmentation
landscape complexity
fractal dimension
eye tracking
preference
urban forest
forest landscape
soundscape preference
elderly
urban forest park
underdeveloped cities in China
subjective evaluation
traditional settlements
ENVI-met
green spaces
outdoor environment
thermal comfort
regional characteristics
human perception
prediction model
visual–aural attributes
urban green spaces
landscape pattern
sound dominant degree
soundscape quality
residential area
green space
scale effect
multisensory perception
restoration effects
forest recreation
generative large language model
National Forest Parks
aesthetic sensory
landscape characteristics
traditional villages
public space
specialized garden
plant landscape space
spatial vitality
visitor behavior
landscape features
older adults
restorative environment
residential public space
physio-psychological recovery
n/a
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
Landsenses in Green Spaces
title Landsenses in Green Spaces
title_full Landsenses in Green Spaces
title_fullStr Landsenses in Green Spaces
title_full_unstemmed Landsenses in Green Spaces
title_short Landsenses in Green Spaces
title_sort landsenses in green spaces
topic soundscape
waterfront space in mountainous cities
spatial elements
multisensory interaction
forest-type temple
urban-type temple
Han Chinese Buddhism
soundscape evaluation
influencing factors
landscape
sound perception
visiting experience
structural equation model
scenic area
urban park waterfront
psychological response
semantic segmentation
landscape complexity
fractal dimension
eye tracking
preference
urban forest
forest landscape
soundscape preference
elderly
urban forest park
underdeveloped cities in China
subjective evaluation
traditional settlements
ENVI-met
green spaces
outdoor environment
thermal comfort
regional characteristics
human perception
prediction model
visual–aural attributes
urban green spaces
landscape pattern
sound dominant degree
soundscape quality
residential area
green space
scale effect
multisensory perception
restoration effects
forest recreation
generative large language model
National Forest Parks
aesthetic sensory
landscape characteristics
traditional villages
public space
specialized garden
plant landscape space
spatial vitality
visitor behavior
landscape features
older adults
restorative environment
residential public space
physio-psychological recovery
n/a
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
topic_facet soundscape
waterfront space in mountainous cities
spatial elements
multisensory interaction
forest-type temple
urban-type temple
Han Chinese Buddhism
soundscape evaluation
influencing factors
landscape
sound perception
visiting experience
structural equation model
scenic area
urban park waterfront
psychological response
semantic segmentation
landscape complexity
fractal dimension
eye tracking
preference
urban forest
forest landscape
soundscape preference
elderly
urban forest park
underdeveloped cities in China
subjective evaluation
traditional settlements
ENVI-met
green spaces
outdoor environment
thermal comfort
regional characteristics
human perception
prediction model
visual–aural attributes
urban green spaces
landscape pattern
sound dominant degree
soundscape quality
residential area
green space
scale effect
multisensory perception
restoration effects
forest recreation
generative large language model
National Forest Parks
aesthetic sensory
landscape characteristics
traditional villages
public space
specialized garden
plant landscape space
spatial vitality
visitor behavior
landscape features
older adults
restorative environment
residential public space
physio-psychological recovery
n/a
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
url ONIX_20240514_9783725806027_447