Rainfall Prediction Using Data Visualisation Techniques

Y. Joshi, Udit Chawla, Shipra Shukla
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引用次数: 4

Abstract

The volume of big data has opened up great opportunities for prediction and analysis of different aspects of weather. Data Visualisation is common in day to day life. Various charts and graphs are used to illustrate the practical approach towards the classification of rainfall with the help of data visualisation methods. Since it was impossible to analyze the large datasets earlier, the data visualisation techniques has made easier to plot the graphs for the better understanding of the weather. With the help of data visualisation patterns such as the highest, lowest and average rainfall in the States/Union Territories the weather of India has been visualised. In this paper, the rainfall pattern in the States/Union Territories of India was successfully visualised. The pattern identifies drought prone region in India, decrease in the annual rainfall over the century and heavy rainfall in the coastal regions of India.
使用数据可视化技术预测雨量
大数据的量为预测和分析天气的不同方面提供了巨大的机会。数据可视化在日常生活中很常见。使用各种图表和图形来说明在数据可视化方法的帮助下对降雨进行分类的实际方法。由于以前不可能分析大型数据集,数据可视化技术使绘制图表更容易,从而更好地了解天气。在数据可视化模式的帮助下,如邦/联邦领土的最高、最低和平均降雨量,印度的天气已经可视化。在本文中,印度邦/联邦领土的降雨模式成功地可视化了。该模式确定了印度的干旱易发地区,一个世纪以来年降雨量减少以及印度沿海地区的强降雨。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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