This project is a web crawler written in Python that fetches typhoon data from "http://agora.ex.nii.ac.jp/digital-typhoon/ibtracs/" and generates data related to typhoons. The goal of this project is to analyze typhoon patterns and produce an image representing the path of typhoons from 1992 to 2022, covering a span of 20 years.
- Fetches typhoon data from a database and filters it to clean the data.
- Recognizes typhoon strength and wind speed.
- Manipulates Excel files with openpyxl to enable further analysis.
- Generates an image representing the path of typhoons from 1992 to 2022.
The code is available in the form of a Jupyter Notebook file (.ipynb). To use this project, you can download the file and open it in Jupyter Notebook, running Anaconda 3.9. From there, you can run the code and generate the desired output.
I would like to give credits to the following wikipages/articles/webpages that provide useful information for my project.
#1. "2022 Pacific typhoon season." Wikipedia. Last edited 27 November 2022. Accessed November 28, 2022. https://en.wikipedia.org/wiki/2022_Pacific_typhoon_season.
#2. "Digital Typhoon: IBTrACS Database." National Institute of Informatics (NII). Updated November 16, 2022. Accessed November 25, 2022. http://agora.ex.nii.ac.jp/digital-typhoon/ibtracs/.
#3. Hugues, Goosse. Climate System Dynamics. New York: Cambridge University Press, 2015.
#4. Jun-Wei Lin. "Web Crawler Tutorial". Accessed November 5, 2022. https://github.com/jwlin/web-crawler-tutorial/.
#5. "气象数据可视化——台风路径图." Model Whale. Updated September 23, 2020. Accessed November 27, 2022. https://www.heywhale.com/mw/project/5f48b64f5c4b
This project is currently under the Creative Commons CC BY-NC license. It is not intended for commercial use. If you wish to use this project for academic purposes, please follow the guidelines of your institution to prevent academic dishonesty and plagiarism.