摘要
本文以芦芽山自然保护区为例,采用TWINSPAN和DCA对从事旅游业者对旅游影响程度的认知水平进行了分析。结果表明:(1)TWINSPAN是一种较好的数量分类方法,将32个样本分为成熟积极型、非成熟积极型、退却型和冷漠型4组;(2)DCA第一轴主要反映了样本的性别和收入特征,第二轴反映了样本的受教育程度;(3)优势因子的分布格局在很大程度上决定着样本类型的分布格局;(4)TWINSPAN分类的结果与DCA排序的结果基本一致,具有良好的可比性。它们都客观地反映出从事旅游业者对旅游影响认知水平的生态关系。
To study residents＇ perception toward tourism impact is of practical significance for developing tourism industry. Taking Luya Mountains Nature Reserve as a case, the background characteristics of the residents engaging in tourism industry and the perception toward 27 indices about tourism impact are investigated on the spot, and the relationship between their characteristics and the perception level is analyzed by two-way indicator species analysis （TWINSPAN） and detrended correspondence analysis （DCA） in the paper. The results show that： （1） TWINSPAN is a kind of better classifying way, and can divide 32 samples into mature and active group, immature and active group, retreating group and apathy group. （2） Each group has its own distribution area and borderline on the DCA ordination figure. Axis 1 of DCA reflects the samples＇ sex and income mainly, and Axis 2 shows their education level. （3） The distribution pattern of dominant factors decides on the distribution pattern of the samples＇ groups to a great extent. （4） The classification of TWINSPAN needs to combine with actual fact, and DCA can eliminate ＂arch effects＂ obviously. The result of TWINSPAN is consistent with that of DCA, and both are comparable. Both can show the ecological relationship between the residents engaging in tourism industry and their perception toward its impact objectively. However, it still needs farther studies on how to express their interrelationship more directly .
出处
《地理研究》
CSCD
北大核心
2007年第1期141-148,共8页
Geographical Research
基金
国家自然科学基金资助项目(40371036)
