Table 1 Summary of research on spatial perception in Chinese classical gardens

From: Influence of visual landscape on dwell and movement behaviours in Du Fu Thatched Cottage

Author

Perspective

Spatial quantification

Perception validation

Content

Accessible layer

Visible layer

Method

3D

Method

Authenticity

Continuity

Correspondence

Chen et al.3

-

Isovist

×

-

-

-

-

Narrative spatial structure

Chen et al.17

Isovist

×

-

-

-

-

Path characteristics and experience

Peng et al.53

PCM,

GIS

-

-

-

-

Visual-spatial characteristics

Guo et al.2

-

PCM

-

-

-

-

Characteristics of commemorative space

Guo et al.49

-

PCM

-

-

-

-

Characteristics of commemorative space

Wang et al.54

-

PCM

-

-

-

-

Spatial sequence characteristics and types

Yu et al.55

Depthmap

×

-

-

-

-

Visual-spatial characteristics

Lu et al.56

In-depth research,

GIS

×

-

-

-

-

Visual-spatial characteristics

Chen et al.57

Panoramic imagery,

deep learning

-

-

-

-

Visual-spatial characteristics

Chen et al.58

Depthmap,

DBSCAN

×

-

-

-

-

Visual-spatial characteristics

Zhang et al.59

Image segmentation,

Depthmap

×

Big data,

field experiment,

questionnaire survey

×

Spatial characteristics and behaviour

Shen et al.25

Isovist

VR experiment, questionnaire survey

×

Spatial characteristics and behaviour

Song et al.30

Mobile sensing technology, panoramic imagery

Social media data

×

Environmental perception data and dwell behaviour

Present study

Panoramic imagery,

deep learning

Panoramic webpage, algorithmic statistics

Spatial characteristics and dwell-move behaviour

  1. PCM: Point Cloud Model; Authenticity: data from real scenes and behaviour, not simulations. Continuity: continuous data across the whole garden, not sampled points. Correspondence: perceptual and spatial data aligned in time, viewpoint and conditions.