| Autor: |
Udit Chawla, Shipra Shukla, Yogesh Kumar Joshi |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence). |
| DOI: |
10.1109/confluence47617.2020.9057928 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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