Table 4 Descriptive statistical analysis of each metric and their interpretations in the context of porous scenery

From: Exploring spatial visual characteristics of scenic archetypes through AI multimodal mapping methods in Hangzhou Westlake

Metrics

Statistical Values

Interpretation

Implication for Design

S_PSI

Mean = 0.523; Mdn = 0.6; 95% CI [0.464, 0.582]; Sk = −1.424

Moderate value with negative skew

Complex and diverse foreground outlines

P_ECI

Mean = 1.615; 95% CI [1.449, 1.781]; Sk = −0.229

Relatively high with a slight negative skew

Long and varied depth transitions

P_LN

Mean = 252.073; 95% CI [249.750, 254.396]; Sk = −4.333

High value near maximum, strong negative skew

Very close positioning to the observer

S_VFR

Mean = 0.734; Mdn = 0.793; 95% CI [0.675, 0.793]

High proportion

Significant occupation of the visual field

S_ADI

Mean = 0.559; Mdn = 0.61; 95% CI [0.473, 0.645]

Moderate value

Balanced influence on middle ground and background

P_LV

Mean = 168.707; 95% CI [157.056, 180.358]; Sk = −0.571

High value with moderate negative skew

Extended depth reached in the foreground

Foreground T_ESI, T_IVI, T_ISI

T_ESI = 1.835, 95% CI [1.511, 2.159]; T_IVI = 183.349, 95% CI [141.457, 225.241]; T_ISI = 0.02, 95% CI [-0.002, 0.042]

Lower T_ESI, higher T_IVI, very low T_ISI

Uniform texture with varied openness patterns

Middle and background T_ESI, T_IVI, T_ISI

T_ESI = 2.963, 95% CI [9.418, 18.194]; T_IVI = 91.937, 95% CI [80.204, 103.670]; T_ISI = 0.507, 95% CI [0.406, 0.608]

Higher values across metrics

More fragmented and open textures