Table 3 Descriptive statistical analysis of each metric and their interpretations in the context of obstructive 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_ECI

Mean = 0.916; Mdn = 0.968; 95% CI [0.860, 0.972]

Near maximum value of 1

Ensures clear distinction of foreground outlines

P_ECI

Mean = 0.649; Mdn = 0.576; 95% CI [0.451, 0.847]

Moderate range

Enables smooth depth transitions

S_ADI

Mean = 0.864; Mdn = 0.985; 95% CI [0.765, 0.963]

Near maximum value of 1

Strong visual guidance capability

S_VFR

Mean = 0.39; Mdn = 0.359; 95% CI [0.302, 0.478]

Lower proportion

Moderate visual field occupation

P_LN

Mean = 169.65; Mdn = 170; 95% CI [140.335, 198.965]

Above median of 128

Closer positioning to the observer

P_LV

Mean = 99.25; Mdn = 93.5; 95% CI [71.436, 127.064]

Relatively low values

Controlled depth extension

Foreground T_ESI, T_ISI, T_ER

T_ISI = 0.025, 95% CI [0.009, 0.041]; T_ER = 2.05, 95% CI [1.560, 2.540]; T_ESI = 1.324, 95% CI [1.148, 1.500]

Lower values

Simplified textural patterns

Middle and background T_ESI, T_ISI, T_ER

T_ISI = 0.481, 95% CI [0.368, 0.594]; T_ER = 6.25, 95% CI [5.129, 7.371]; T_ESI = 3.543, 95% CI [2.729, 4.357]

Higher values

Rich, complex textures