首页|基于线性回归气象数据预测及可视化系统设计与实现

基于线性回归气象数据预测及可视化系统设计与实现

Design and Implementation of Meteorological Data Prediction and Visualization System Based on Linear Regression

扫码查看
针对天气尤其是南方天气的变化,人们需要掌握出行时段内的具体天气,包括日常出行(上班、上学等)、出差、旅游等,并做好相应的出行安排.所设计的系统从中国新闻网等数据源爬取各地天气数据,利用Spark技术进行数据处理和调取,通过ECharts库绘制各种图表和图形,用以展示不同城市的天气数据变化趋势,并采用线性回归算法对天气数据进行预测分析.该系统能够实现对304个城市的实时天气搜索,预测未来3天的气温,以及对实时温度、降水、风力、气压、湿度等进行分析,为人们查询天气提供了高效、便捷的方法.
In view of the changes of the weather,especially the weather in the south,people need to master the specific weather during the travel periods,including daily travel(going work or school),business trips,tourism,and so on,and make corresponding travel arrangements.This designed system crawls weather data everywhere from data sources such as China News Network,uses Spark technology for data processing and retrieval,and draws various charts and graphs through ECharts library,to show the change trend of weather data in different cities.And the Linear Regression algorithm is used to predict and analyze the weather data.The system can realize the real-time weather search in 304 cities,predict the temperature in the next 3 days,and analyze the real-time temperature,precipitation,wind force,air pressure,humidity,and so on,providing an efficient and convenient method for people to check the weather.

weather predictionLinear RegressionPythoncrawlervisualization

熊建芳、冯雯、高继、彭增焰

展开 >

岭南师范学院 计算机与智能教育学院,广东 湛江 524048

中国船舶集团有限公司第七〇四研究所,上海 200031

天气预测 线性回归 Python 爬虫 可视化

2024

现代信息科技
广东省电子学会

现代信息科技

ISSN:2096-4706
年,卷(期):2024.8(23)