## 4 Color-Area Ratio Factor Analysis
### SD Factor Analysis
#### 4.1.4 Average Analysis  
The questionnaire was analyzed, and the scale evaluation data of each sample from S1 to S4 were extracted using the SPSS 22.0 software. The data of the six evaluation factors of spatial openness (X\({}_{1}\)), sense of rhythm (X\({}_{2}\)), color richness (X\({}_{3}\)), attraction (X\({}_{4}\)), color brightness (X\({}_{5}\)), and aesthetic degree (X\({}_{6}\)) were averaged and weighted via SPSS 22.0 to obtain a sample statistics table (Table 6). The sample of S5 (weighted value 1.098) represents the characteristic religious buildings in rural areas, and the sample of S13 (weighted value 0.425) represents the details of landscape materials. Among the various evaluation indicators, spatial openness (X1) is the highest (S10, 1.29); the lowest is (S14, 0.09); the sense of rhythm (X2) is the highest (S4, 1.13), the lowest is (S1, 0.20); the highest color richness value is S5 (1.21), the lowest is (S1, 0.02); the most attractive is (S14, 1.1.0), the lowest is (S1, 0.22); the color brightness (X5) is the highest is (S14, 1.17), the lowest is (S10, 0.54); the highest aesthetic is (S13, 1.17), and the lowest is (S8, 0.33). It can be concluded that: among all the samples, S10 makes the public feel the most open and spatial; S4 gives the most comfortable rhythm of landscape; S5 consists of the most kinds of colors; S14 is the most attractive among them; S14 makes the public experience brightest landscape; and S13 is the most aesthetic landscape. The final comparison of the weighted scores from high to low is: S5 \(>\) S3 \(>\) S14 \(>\) S6 \(>\) S9 \(>\) S12 \(>\) S4 \(>\) S7 \(>\) S11 \(>\) S10 \(>\) S2 \(>\) S8 \(>\) S13 \(>\) S13. Therefore, the results show that the evaluator's sense of identity with the landscape samples gradually weakens from S5 to S13.  
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & \multicolumn{1}{c}{**X\({}_{1}\)**} & \multicolumn{1}{c}{**X\({}_{2}\)**} & \multicolumn{1}{c}{**X\({}_{3}\)**} & \multicolumn{1}{c}{**X\({}_{4}\)**} & \multicolumn{1}{c}{**X\({}_{5}\)**} & \multicolumn{1}{c}{**X\({}_{6}\)**} & \\ \cline{3-8} \cline{10-8}  & \multicolumn{1}{c}{**Spatial**} & \multicolumn{1}{c}{**Spenses of**} & \multicolumn{1}{c}{**Color**} & \multicolumn{1}{c}{**Richness**} & \multicolumn{1}{c}{**Attraction**} & \multicolumn{1}{c}{**Color Brightness**} & \multicolumn{1}{c}{**Aesthetic Degree**} & \multicolumn{1}{c}{**Value**} \\ \hline \multirow{5}{*}{**Sample Statistics**} & \(\text{S}_{1}\) & 1.13 & 0.20 & 0.02 & 0.22 & 0.68 & 0.39 & 0.449 \\  & \(\text{S}_{2}\) & 1.09 & 0.30 & 0.12 & 0.27 & 0.70 & 0.39 & 0.490 \\  & \(\text{S}_{3}\) & 0.85 & 0.95 & 1.20 & 1.08 & 1.21 & 1.17 & 1.092 \\  & \(\text{S}_{4}\) & 0.87 & 1.13 & 0.66 & 0.44 & 0.85 & 0.67 & 0.766 \\  & \(\text{S}_{5}\) & 1.04 & 1.06 & 1.21 & 1.05 & 1.07 & 1.02 & 1.098 \\ \hline \hline \end{tabular}
\end{table}
Table 6: SD method analysis results of [PERSON]’s color–area ratio.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Item** & **Classification** & **Number of People** & **Percentage** \\ \hline \multirow{3}{*}{Gender} & Male & 97 & 35.40\% \\  & Female & 177 & 64.60\% \\ \hline \multirow{5}{*}{Age} & 12–17 Years Old & 4 & 1.46\% \\  & 18–29 Years Old & 201 & 73.36\% \\  & 30–45 Years Old & 40 & 14.60\% \\  & 45–59 Years Old & 25 & 9.12\% \\  & Over 60 Years Old & 4 & 1.46\% \\ \hline \multirow{5}{*}{Degree} & Primary School & 1 & 0.36\% \\  & Junior Middle School & 7 & 2.55\% \\  & Junior High School & 16 & 5.84\% \\  & Bachelor & 199 & 72.63\% \\  & Master & 45 & 16.42\% \\  & Ph.D. & 6 & 2.19\% \\ \hline \multirow{5}{*}{Work} & Landscape And Related Fields Work & 29 & 10.58\% \\  & Other Areas Of Work & 44 & 16.06\% \\ \cline{1-1}  & Students Majoring In Landscape And & 65 & 23.72\% \\ \cline{1-1}  & Related Majors & 96 & 35.04\% \\ \cline{1-1}  & Unemployment & 4 & 1.46\% \\ \cline{1-1}  & Reitree & 6 & 2.19\% \\ \cline{1-1}  & Others & 30 & 10.95\% \\ \hline \hline \end{tabular}
\end{table}
Table 5: Data analysis of Samples.