基于机器学习的南京市旅游地个性及其文化景观表征
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张郴, 黄震方, 张捷, 葛军莲
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Urban tourism destination personality and its cultural landscape representation via machine learning: A case study of Nanjing
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Chen ZHANG, Zhenfang HUANG, Jie ZHANG, Junlian GE
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表6 城市文化景观对城市旅游地个性表征的信息增益值 |
Tab. 6 Results of information gains on representing urban tourism destination personalities with urban culture landscapes |
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景观 维度 | 景观 元素 | 态度信息增益值 | | 气质信息增益值 | | 性格信息增益值 | | 能力信息增益值 | 元素 | 维度 | | 元素 | 维度 | | 元素 | 维度 | | 元素 | 维度 | M | M1 | 0.336 | 0.623 | | 0.212 | 0.893 | | 0.000 | 0.765 | | 1.391 | 0.876 | M2 | 0.000 | | 0.927 | | 0.221 | | 0.156 | M3 | 0.246 | | 0.302 | | 1.520 | | 0.973 | M4 | 0.339 | | 0.673 | | 0.000 | | 0.543 | M5 | 0.394 | | 0.164 | | 0.000 | | 1.512 | M6 | 1.352 | | 0.760 | | 0.271 | | 0.550 | M7 | 0.000 | | 0.000 | | 0.837 | | 0.362 | T | T1 | 0.386 | 0.329 | | 1.584 | 0.972 | | 0.582 | 0.528 | | 0.189 | 0.149 | T2 | 0.344 | | 0.890 | | 0.415 | | 0.382 | T3 | 0.000 | | 0.949 | | 0.519 | | 0.245 | T4 | 0.382 | | 0.364 | | 0.652 | | 0.321 | E | E1 | 0.386 | 0.235 | | 1.105 | 0.651 | | 0.212 | 0.211 | | 0.372 | 0.663 | E2 | 0.173 | | 0.785 | | 0.000 | | 0.731 | E3 | 0.211 | | 0.276 | | 0.190 | | 0.683 | L | L1 | 0.962 | 0.742 | | 1.212 | 0.733 | | 0.000 | 0.098 | | 0.373 | 0.352 | L2 | 0.266 | | 0.627 | | 0.000 | | 0.279 | L3 | 0.413 | | 0.188 | | 0.133 | | 0.315 | L4 | 0.313 | | 1.434 | | 0.119 | | 0.268 | S | S1 | 0.613 | 0.569 | | 0.393 | 0.392 | | 0.332 | 0.092 | | 0.887 | 0.841 | S2 | 0.000 | | 0.000 | | 0.000 | | 0.682 | S3 | 0.831 | | 0.348 | | 0.000 | | 1.172 |
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