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R codes developed for PCB water concentrations in USA. Codes describe how to create maps and figures, as well as all the statistical analyses. All data are available and download from Pangaea. This is part of Project 4 of the ISRP (https://iowasuperfund.uiowa.edu
Halo! Selamat datang di Repository ku. Dalam Repository ini kamu akan melihat hasil eksperiment ku membandingkan 5 model boosting untuk memprediksi kualitas udara yang ada di jakarta.
a platform which provides users with the predicted Air Quality Index levels of air pollution for 39 cities of India with daily, monthly and yearly trends. It also provides some of the statistics observed for AQI over these cities and various latest articles and blogs related to air pollution.
SCMPM: An open source and efficient calibration and mapping approach based on real-time spatial model that calibrates measurements from low-cost sensor in an environment with high relative humidity. The model provides spatial calibration of low cost PM2.5 sensors
Zephyr is a platform which provides users with the predicted AQI levels of air pollution for 39 cities of India with daily, monthly and yearly trends. It also provides some of the statistics observed for AQI over these cities and various latest articles and blogs related to air pollution.
Zephyr is a platform which provides users with the predicted Air Quality Index levels of air pollution for 39 cities of India with daily, monthly and yearly trends. It also provides some of the statistics observed for AQI over these cities and various latest articles and blogs related to air pollution.
A Python notebook that aims to analyze the change in air quality index (AQI) for 4 major pollutants (Nitrogen Dioxide, Sulphur Dioxide, Carbon Monoxide, Ozone) that cover all 50 states of the United States from 2000 to 2016.
Code Repository for: "Characterization of Industrial Smoke Plumes from Remote Sensing Data", presented at Tackling Climate Change with Machine Learning workshop at NeurIPS 2020.