本文利用江苏省南京市1981年到2010年的气候资料,对南京市旅游气候舒适度做出了评价,划分出其适游等级和旅游适宜期的年内分布情况;结合在互联网平台上收集的多元互联网大数据,在整理筛选和计算后得出南京市搜索引擎类旅游热度指数和社交软件类旅游热度指数。在对气候舒适度及特殊影响因素赋值的基础上,建立线性回归方程分析其相关性。结果表明:南京市的适游时期为3-5月和8—10月,互联网旅游热度指数的峰值出现在4月和7—9月,两者相关性明显,相关性系数0.964。互联网的新兴大型节日和我国的传统节日等特殊影响因素也是影响互联网旅游热度指数和气候舒适度变化关系的重要因素。
Based on the climate data from 1981 to 2010,the tourism climate comfortable degree of Nanjing is evaluated, and divided into the appropriate Iravel grade and tourism suitability distribution period of years; combined with multiple large data collection on the Internet platform, it obtained the Nanjing city tourism search heat index and social tourism heat index in screening and sorting calculation; on climate comfortable degree and special factors affecting the assignment basis, it established the linear regression equation and the correlation analysis. The results show that the suitable travel time in Nanjing is from March to May and from August to October. The peak value of the Intemet tourism heat index appears in April and July to September. The correlation between them is obvious, and the correlation coefficient is 0.964. At the same time, it is worth noting that some special factors such as the Intemet's emerging festivals and our traditional festivals are also im- portant factors that affect the relationship between the Internet tourism heat index and climate comfort degree.