摘要
气象大数据和气象服务行业的快速发展,推动了气象数据信息可视化的发展。本文基于2022年四川省主要城市的气象和环境数据,分析不同城市的年平均气温、年平均降水量、年平均湿度、各市年平均气温、降水量和湿度的关系、平均气温和降水量概况、夏季平均相对湿度与平均气温的关系,建立的城市宜居度评价体系,分析气象数据与城市宜居度的相关性。利用Tableau可视化软件,将气象数据与城市宜居度的关系进行可视化呈现,为城市生态体系建设提供参考依据。本文所使用的分析方法和评价体系,可广泛应用于其他城市的象数据与城市宜居度分析,研究思路也可广泛应用于其他领域。
Using Tableau to process and visualize meteorological and environmental data from major cities in Sichuan Province in 2022, we obtained the annual average temperature, annual average precipitation, annual average humidity, relationship between annual average temperature, precipitation and humidity in each city, overview of average temperature and precipitation, and relationship between summer average relative humidity and average temperature. Through the above information, we analyzed the correlation between meteorological data and urban livability. Using Tableau for analysis can quickly and accurately visualize data, shorten data processing and analysis time, and is an important approach to data statistics.
出处
《计算机科学与应用》
2023年第10期1870-1881,共12页
Computer Science and Application
