diff --git a/.history/README_20250328223710.md b/.history/README_20250328223710.md new file mode 100644 index 0000000000000000000000000000000000000000..26bb14ad83bd4cf184681627db600ca81b1e4f9e --- /dev/null +++ b/.history/README_20250328223710.md @@ -0,0 +1,12 @@ +## TOAR-classifier v2: A data-driven classification tool for global air quality stations +This study develops a machine learning approach to classify 23,974 air quality monitoring stations in the TOAR database as urban, suburban, or rural using K-means clustering and an ensemble of supervised classifiers. The proposed method outperforms existing classifications, improving suburban accuracy and providing a more reliable foundation for air quality assessments. +<img src="./figures/toar_classifier_v2.png" alt="My image" with=100> + +### Files +`data` is the folder contening all data use in this work, including the predictions of station cotegories form Machine Learning (ML) model. + +`TOAR-classifier_v2.ipynb` is the notebook contening the code + +`requirements.txt` contains all neccessary packages. + +### Run code \ No newline at end of file diff --git a/README.md b/README.md index bc18d1efb3498ffe002ee86cdee3b422a1e7625c..26bb14ad83bd4cf184681627db600ca81b1e4f9e 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,9 @@ This study develops a machine learning approach to classify 23,974 air quality m ### Files `data` is the folder contening all data use in this work, including the predictions of station cotegories form Machine Learning (ML) model. + `TOAR-classifier_v2.ipynb` is the notebook contening the code + `requirements.txt` contains all neccessary packages. ### Run code \ No newline at end of file