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通过互联网络,调查了网友对90幅林分图像(照片和虚拟实际图像)的相对偏好,发展了两个在林分水平上风景优美度评价的量化模型。用成对比较回归法分析了259份问卷对林分偏好的相对优先顺序。模型量化结果表明,林分偏好随灌木和乔木数量增加而增加,还与乔木平均直径正相关。另一方面,林分偏好又因大量的松树和小树而降低。与虚拟真实图像相比,网友更偏好林木照片。此外,参与问卷调查者的背景(性别,国籍或者职业)并未对模型结果造成显著影响。
Through the Internet, we surveyed the relative preferences of netizens for 90 stand images (photos and virtual reality images), and developed two quantitative models of the landscape rating on the stand level. The relative priority of 259 questionnaires on forest preference was analyzed by paired comparison regression. The results of model quantification showed that the stand preference increased with the increase of shrubs and trees, and positively correlated with the mean diameter of trees. On the other hand, the stand preference is reduced by a large number of pine and small trees. Compared with the virtual real images, users prefer forest photos. In addition, the background (gender, nationality, or occupation) of the respondents did not significantly affect the model results.