Making it easier to navigate and clean TAHMO weather station data for ML development
Project description
Documentation
You can find the documentation for the project by following this link
https://filter-stations.netlify.app/
Getting Started
All methods require an API key and secret, which can be obtained by contacting TAHMO.
- The
retreive_data
class is used to retrieve data from the TAHMO API endpoints. - The
Kieni
class is used to get weather data for stations 100km around Kieni from the central point. - The
Filter
class is used to filter weather stations data based on things like distance and region. - The
pipeline
class is used to create a pipeline of filters to apply to weather stations based on how they correlate with water level data. - The
Interactive_maps
class is used to plot weather stations on an interactive map. - The
Water_level
class is used to retrieve water level data and coordinates of gauging stations.
For instructions on shedding weather stations based on your water level data and gauging station coordinates, please refer to the water_level_pipeline.md file.
Citations
If you use this package in your research, please cite it using the following BibTeX entry:
@misc{filter-stations,
author = {Austin Kaburia},
title = {filter-stations},
year = {2024},
publisher = {Python Package Index},
journal = {PyPI},
howpublished = {\url{https://pypi.org/project/filter-stations/}},
}
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